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Shusaku Tsumoto

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affiliation: Shimane University, Japan

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2020 – today

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2023
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Tomohiro Kimura, Shusaku Tsumoto, Shoji Hirano:
Analysis of Medical Incident Reports using Text Mining^*. IEEE Big Data 2023: 6057-6062
[c358]
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Hiroyuki Ikedo, Tomohiro Kimura, Shusaku Tsumoto, Shoji Hirano:
Using Hospital Information System Data to Estimate Nursing Care Needs. IEEE Big Data 2023: 6063-6068
2022
[j58]
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Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano:
Expectation-Maximization (EM) Clustering as a Preprocessing Method for Clinical Pathway Mining. Rev. Socionetwork Strateg. 16(1): 25-52 (2022)
[j57]
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Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano:
Order Trajectory Analysis for Monitoring Clinical Process. Rev. Socionetwork Strateg. 16(1): 53-70 (2022)
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Tomohiro Kimura, Shusaku Tsumoto, Shoji Hirano:
Similarity Analysis of Order Trajectory for Hospital Management. IEEE Big Data 2022: 6232-6238
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Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano, Katsutoshi Yada:
Temporal Data Mining in AI-based Patient Navigation Service. IEEE Big Data 2022: 6239-6246
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Shusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan:
IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022. IEEE 2022, ISBN 978-1-6654-8045-1 [contents]
2021
[j56]
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Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, Haruko Iwata:
Mining Clinical Process from Hospital Information System: A Granular Computing Approach. Fundam. Informaticae 182(2): 181-218 (2021)
[j55]
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Shusaku Tsumoto, Tomohirno Kimura, Shoji Hirano:
Determination of Disease from Discharge Summaries. Rev. Socionetwork Strateg. 15(1): 49-66 (2021)
[j54]
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Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano:
Mining Clinical Pathways Using Dual Clustering. Rev. Socionetwork Strateg. 15(2): 287-307 (2021)
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Shusaku Tsumoto:
Granular Computing based Comparison of Agglomerative Clustering. IEEE BigData 2021: 5553-5560
[c354]
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Shusaku Tsumoto:
Empirical Rule Induction Methods Selection. IEEE BigData 2021: 5561-5570
[c353]
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Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano:
Comparison of Clustering Strategies using a Partition Tree. IST 2021: 1-6
2020
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Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano:
Automated Dual Clustering for Clinical Pathway Mining^*. IEEE BigData 2020: 5387-5396
[c351]
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Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano:
Order Trajectory Analysis in Hospital Information System^*. IEEE BigData 2020: 5397-5404
[c350]
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Tiago Oliveira, Jérémie Dauphin, Ken Satoh, Shusaku Tsumoto, Paulo Novais:
Goal-Driven Structured Argumentation for Patient Management in a Multimorbidity Setting. CLAR 2020: 166-183
[c349]
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Katsutoshi Yada, Ken Ishibashi, Taku Ohashi, Danhua Wang, Shusaku Tsumoto:
How Shoppers Walk and Shop in a Supermarket. ICDM (Workshops) 2020: 114-118
[c348]
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Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano:
From Texts to Classification Knowledge. IFIP TC12 ICIS 2020: 173-184
[c347]
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Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano:
Mining in Discharge Summaries. JSAI 2020: 61-72

2010 – 2019

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2019
[c346]
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Shoji Hirano, Shusaku Tsumoto:
Mining frequent temporal patterns from medical data based on fuzzy ranged relations. IEEE BigData 2019: 2654-2658
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Shusaku Tsumoto, Tomohiro Kimura, Haruko Iwata, Shoji Hirano:
Estimation of Disease Code from Electronic Patient Records. IEEE BigData 2019: 2698-2707
[c344]
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Shoji Hirano, Haruko Iwata, Tomohiro Kimura, Shusaku Tsumoto:
Clinical Pathway Generation from Order Histories and Discharge Summaries. ICDM Workshops 2019: 333-340
[c343]
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Shusaku Tsumoto, Shoji Hirano:
Granular Rules for Medical Diagnosis. IFSA/NAFIPS 2019: 681-691
2018
[j53]
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Yingxu Wang, Victor Raskin, Julia Rayz, George Baciu, Aladdin Ayesh, Fumio Mizoguchi, Shusaku Tsumoto, Dilip Patel, Newton Howard:
Cognitive Computing: Methodologies for Neural Computing and Semantic Computing in Brain-Inspired Systems. Int. J. Softw. Sci. Comput. Intell. 10(1): 1-14 (2018)
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Tiago Oliveira, Jérémie Dauphin, Ken Satoh, Shusaku Tsumoto, Paulo Novais:
Argumentation with Goals for Clinical Decision Support in Multimorbidity. AAMAS 2018: 2031-2033
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Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, Haruko Iwata:
From Hospital Big Data to Clinical Process: A Granular Computing Approach. IEEE BigData 2018: 2669-2678
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Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, Haruko Iwata:
Construction of Clinical Pathway Generation from Nursing Records and Discharge Summaries. ICDM Workshops 2018: 470-477
[c339]
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Shusaku Tsumoto, Tomohiro Kimura, Haruko Iwata, Shoji Hirano:
Empirical Comparison of Distances for Agglomerative Hierarchical Clustering. IPMU (2) 2018: 538-548
[c338]
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Shusaku Tsumoto, Tomohiro Kimura, Haruko Iwata, Shoji Hirano:
Clinical Pathway Generation from Hospital Information System. ITQM 2018: 545-553
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Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, Haruko Iwata:
Clinical Pathway Generation Based on Hierarchical Clustering and EM Clustering. SMC 2018: 1327-1332
[c336]
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Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, Haruko Iwata:
Empirical Comparison of Similarities for Agglomerative Hierarchical Clustering. SMC 2018: 3405-3410
2017
[j52]
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Yingxu Wang, Lotfi A. Zadeh, Bernard Widrow, Newton Howard, Françoise Beaufays, George Baciu, D. Frank Hsu, Guiming Luo, Fumio Mizoguchi, Shushma Patel, Victor Raskin, Shusaku Tsumoto, Wei Wei, Du Zhang:
Abstract Intelligence: Embodying and Enabling Cognitive Systems by Mathematical Engineering. Int. J. Cogn. Informatics Nat. Intell. 11(1): 1-15 (2017)
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Shusaku Tsumoto, Tomohiro Kimura, Haruko Iwata, Shoji Hirano:
Construction of discharge summaries classifier. IEEE ICCI*CC 2017: 513-519
[c334]
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Shusaku Tsumoto, Tomohiro Kimura, Haruko Iwata, Shoji Hirano:
Mining text for disease diagnosis in hospital information system. IEEE BigData 2017: 1850-1859
[c333]
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Shoji Hirano, Shusaku Tsumoto:
Frequent Temporal Pattern Mining for Medical Data Based on Ranged Relations. ICDM Workshops 2017: 612-616
[c332]
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Shusaku Tsumoto, Tomohiro Kimura, Haruko Iwata, Shoji Hirano:
Construction of Discharge Summaries Classifier. ICHI 2017: 74-82
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Shusaku Tsumoto, Tomohiro Kimura, Haruko Iwata, Shoji Hirano:
Discharge Summaries Classifier. IIH-MSP (2) 2017: 352-360
[c330]
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Shusaku Tsumoto, Tomohiro Kimura, Haruko Iwata, Shoji Hirano:
Mining Text for Disease Diagnosis. ITQM 2017: 1133-1140
[c329]
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Shusaku Tsumoto, Shoji Hirano:
Induction of Rule for Differential Diagnosis. IJCRS (1) 2017: 350-361
2016
[j51]
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Shusaku Tsumoto, Shoji Hirano:
Multidimensional temporal mining in hospital information system. Int. J. Comput. Intell. Stud. 5(3/4): 317-337 (2016)
[j50]
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Mei-Hui Wang, Kanta Kurozumi, Mikiko Kawaguchi, Chang-Shing Lee, Hiroshi Tsuji, Shusaku Tsumoto:
Healthy diet assessment mechanism based on fuzzy markup language for Japanese food. Soft Comput. 20(1): 359-376 (2016)
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Shusaku Tsumoto, Shoji Hirano:
Active mining process for software quality estimation. ICCI*CC 2016: 268-274
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Shusaku Tsumoto, Shoji Hirano:
Construction of linguistic variables based on rule induction and concept hierarchy. ICCI*CC 2016: 516-522
[c326]
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Shusaku Tsumoto, Michinori Nakata, Hiroshi Sakai, Chenxi Liu:
A proposal of a privacy-preserving questionnaire by non-deterministic information and its analysis. IEEE BigData 2016: 1956-1965
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Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Construction of clinical pathway from histories of clinical actions in hospital information system. IEEE BigData 2016: 1972-1981
[c324]
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Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, Norio Yoshimoto, Tomohiro Kimura:
Mining process for improvement of clinical process quality. IEEE BigData 2016: 1982-1990
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Shusaku Tsumoto, Shoji Hirano:
Incremental Updates of Rough Set-Based Probabilistic Rules. CMCSN 2016: 28-31
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Masumi Okuda, Akira Yasuda, Shusaku Tsumoto:
A Data Mining Approach on the Structure of Patient Satisfaction in HCAHPS Databases. ICHI 2016: 311
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Haruko Iwata, Shusaku Tsumoto, Shoji Hirano:
Dual Clustering for Clinical Care Construction. ICHI 2016: 314
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Shusaku Tsumoto, Shoji Hirano:
On Behavior of Statistical Indices in Incremental Context. IJCRS 2016: 483-492
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Shusaku Tsumoto, Shoji Hirano:
Linguistic Variables Construction in Information Table. IJCRS 2016: 493-502
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Shusaku Tsumoto, Shoji Hirano:
Construction of linguistic variables from data and domain knowledge. SMC 2016: 4519-4524
2015
[j49]
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Haruko Iwata, Shoji Hirano, Shusaku Tsumoto:
Maintenance and Discovery of Domain Knowledge for Nursing Care using Data in Hospital Information System. Fundam. Informaticae 137(2): 237-252 (2015)
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Shusaku Tsumoto, Shoji Hirano:
Mining probabilistic rules using nonmonotonic rule layers. ICCI*CC 2015: 184-191
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Shusaku Tsumoto, Shoji Hirano:
Analytics for Hospital Management. ASE BD&SI 2015: 15:1-15:6
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Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Dual Clustering and Data Decomposition for Nursing Care Management. ASE BD&SI 2015: 24:1-24:6
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Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Data decomposition and dual clustering for clinical care management. IEEE BigData 2015: 1475-1584
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Shusaku Tsumoto, Shoji Hirano:
Granular formalization of medical diagnostic process. IEEE BigData 2015: 1608-1614
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Masumi Okuda, Akira Yasuda, Shusaku Tsumoto:
The Change of the Structure of Patient Satisfaction by Waiting Time, Length of Stay and Hospital Rebuilding in Japan. ICDM Workshops 2015: 336-344
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Shusaku Tsumoto, Shoji Hirano:
Rule Mining Based on Nonmonotonic Rule Layers and Its Application to Medicine. ICDM Workshops 2015: 365-372
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Masumi Okuda, Akira Yasuda, Shusaku Tsumoto:
The Effects of Waiting Time, Length of Stay, and Hospital Remodeling on the Structure of Patient Satisfaction. ICServ 2015: 287-297
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Shusaku Tsumoto, Shoji Hirano, Toshihiko Kawamura:
Statistical Estimation of Software Quality in Hospital Information System. ICServ 2015: 341-350
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Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Mining Schedule of Nursing Care Based on Dual-Clustering. ITQM 2015: 1203-1212
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Shusaku Tsumoto, Shoji Hirano:
Layered Rule Induction. ITQM 2015: 1213-1220
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Takahiro Suzuki, Shunsuke Doi, Yutaka Hatakeyama, Masayuki Honda, Yasushi Matsumura, Gen Shimada, Mitsuhiro Takasaki, Shusaku Tsumoto, Hideto Yokoi, Katsuhiko Takabayashi:
Clinical application of the integrated multicenter discharge summary database. MedInfo 2015: 1120
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Shusaku Tsumoto, Shoji Hirano:
Formalization of Medical Diagnostic Rules. RSFDGrC 2015: 24-35
2014
[j48]
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Shusaku Tsumoto, Haruko Iwata, Shoji Hirano, Yuko Tsumoto:
Similarity-based behavior and process mining of medical practices. Future Gener. Comput. Syst. 33: 21-31 (2014)
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Toshihiko Kawamura, Tomohiro Kimura, Shusaku Tsumoto:
Estimation of Service Quality of a Hospital Information System Using a Service Log. Rev. Socionetwork Strateg. 8(2): 53-68 (2014)
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Shusaku Tsumoto, Shoji Hirano:
Incremental rule induction based on updates of statistical indices. ICCI*CC 2014: 408-415
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Shusaku Tsumoto, Shoji Hirano:
Formal analysis of cross-validation for rule induction using probabilistic indices. ICCI*CC 2014: 416-423
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Shusaku Tsumoto, Shoji Hirano:
Formal analysis of cross-validation based on decremental sampling scheme. GrC 2014: 298-303
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Shusaku Tsumoto, Shoji Hirano:
Probabilistic rule induction based on incremental sampling scheme. GrC 2014: 304-309
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Shusaku Tsumoto, Shoji Hirano:
Healthcare IT: Integration of consumer healthcare data and electronic medical records for chronic disease management. GrC 2014: 310-315
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Shoji Hirano, Shusaku Tsumoto:
Visualization of Patient Distributions in a Hospital Based on the Clinical Actions Stored in EHR. ICDM Workshops 2014: 284-288
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Toshihiko Kawamura, Tomohiro Kimura, Shusaku Tsumoto:
Data Mining-Based Service Quality Estimation in Hospital Information System. ICDM Workshops 2014: 289-295
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Masumi Okuda, Akira Yasuda, Shusaku Tsumoto:
Factors of Patient Satisfaction Based on Distant Analysis in HCAHPS Databases. ICDM Workshops 2014: 328-337
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Masumi Okuda, Akira Yasuda, Shusaku Tsumoto:
Exploratory Analysis of Factors of Patient Satisfaction in HCAHPS Databases. ICServ 2014: 229-244
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Haruko Iwata, Shoji Hirano, Shusaku Tsumoto:
Construction of Clinical Pathway based on Similarity-based Mining in Hospital Information System. ITQM 2014: 1107-1115
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Shoji Hirano, Shusaku Tsumoto:
Mining Typical Order Sequences from EHR for Building Clinical Pathways. PAKDD Workshops 2014: 39-49
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Shusaku Tsumoto, Shoji Hirano:
Evaluation of Leave-One Out Method Based on Incremental Sampling Scheme. RSEISP 2014: 225-236
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Shoji Hirano, Shusaku Tsumoto:
Visualizing dynamics of patients in hospitals using devise locations. SMC 2014: 2547-2550
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Shusaku Tsumoto, Shoji Hirano:
Formal analysis of leave-one out method based on decremental sampling scheme. SMC 2014: 2780-2785
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Shusaku Tsumoto, Shoji Hirano:
Homological analysis of statistical dependence. SMC 2014: 2786-2791
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Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Towards Data-Oriented Schedule Management in Hospital. SRII Global Conference 2014: 181-190
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Shusaku Tsumoto, Shoji Hirano:
Formal Analysis of Leave-One-Out Methods Based on Decremental Sampling Scheme. WI-IAT (1) 2014: 371-378
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Shusaku Tsumoto, Shoji Hirano:
Formal Analysis of Statistical Dependence Based Homological Algebra. WI-IAT (1) 2014: 379-385
2013
[j46]
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Shusaku Tsumoto, Shoji Hirano:
Incremental Induction of Medical Diagnostic Rules Based on Incremental Sampling Scheme and SubRule Layers. Fundam. Informaticae 127(1-4): 209-223 (2013)
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Yingxu Wang, Gabriele Fariello, Marina L. Gavrilova, Witold Kinsner, Fumio Mizoguchi, Shushma Patel, Dilip Patel, Fernando L. Pelayo, Victor Raskin, Duane F. Shell, Shusaku Tsumoto:
Perspectives on Cognitive Computers and Knowledge Processors. Int. J. Cogn. Informatics Nat. Intell. 7(3): 1-24 (2013)
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Shusaku Tsumoto, Shoji Hirano:
Combinatorics of Information Granule in Contingency Table. Int. J. Intell. Syst. 28(9): 892-906 (2013)
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Shusaku Tsumoto, Shoji Hirano:
Combinatorics in Pearson residuals. Int. J. Knowl. Eng. Soft Data Paradigms 4(1): 72-84 (2013)
[j42]
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Shusaku Tsumoto:
Special issue on challenges in knowledge discovery and data mining. J. Intell. Inf. Syst. 41(1): 1-4 (2013)
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Shoji Hirano, Shusaku Tsumoto:
Clustering of non-metric proximity data based on bi-links with ϵ-indiscernibility. J. Intell. Inf. Syst. 41(1): 61-71 (2013)
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Eisuke Hanada, Takato Kudou, Shusaku Tsumoto:
Installation of Secure, Always Available Wireless LAN Systems as a Component of the Hospital Communication Infrastructure. J. Medical Syst. 37(3): 9939 (2013)
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Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Granularity-based mining for construction of nursing care plan. ICCI*CC 2013: 282-291
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Guo-Cheng Lan, Tzung-Pei Hong, Pei-Shan Wu, Shusaku Tsumoto:
Mining hierarchical temporal association rules in a publication database. ICCI*CC 2013: 503-508
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Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Mining nursing care plan from data extracted from hospital information system. ASONAM 2013: 956-961
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Shoji Hirano, Shusaku Tsumoto:
Cluster analysis of treatment processes based on the typicalness measure for building clinical pathways. BIBM 2013: 31-32
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Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Granularity-based temporal data mining in hospital information system. IEEE BigData 2013: 32-40
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Haruko Iwata, Shoji Hirano, Shusaku Tsumoto:
Mining Clinical Pathway Based on Clustering and Feature Selection. Brain and Health Informatics 2013: 237-245
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Shusaku Tsumoto, Shoji Hirano:
Incremental Induction of Medical Diagnostic Rules. Brain and Health Informatics 2013: 409-417
[c279]
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Haruko Iwata, Shusaku Tsumoto, Shoji Hirano:
Clinical schedule management based on granularity-based mining. CYBCONF 2013: 237-242
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Kanta Kurozumi, Shun-Teng Lan, Mei-Hui Wang, Chang-Shing Lee, Mikiko Kawaguchi, Shusaku Tsumoto, Hiroshi Tsuji:
FML-based Japanese diet assessment system. FUZZ-IEEE 2013: 1-6
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Shusaku Tsumoto, Shoji Hirano:
Evaluation of set-based indices based on incremental sampling framework. FUZZ-IEEE 2013: 1-8
[c276]
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Shusaku Tsumoto, Shoji Hirano:
Algebraic analysis of statistical dependence. GrC 2013: 303-308
[c275]
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Shusaku Tsumoto, Shoji Hirano:
Incremental induction of medical diagnostic rules. GrC 2013: 309-314
[c274]
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Haruko Iwata, Shusaku Tsumoto, Shoji Hirano:
Data mining based clinical care plan construction. iCAST/UMEDIA 2013: 286-292
[c273]
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Shoji Hirano, Shusaku Tsumoto:
Clustering of Order Sequences Based on the Typicalness Index for Finding Clinical Pathway Candidates. ICDM Workshops 2013: 206-210
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Haruko Iwata, Shusaku Tsumoto, Shoji Hirano:
Clinical Schedule Management Using Similarity-Based Mining Methods. ICHI 2013: 396-405
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Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Data-Oriented Maintenance of Schedule Management of Nursing Care. ICServ 2013: 169-177
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Eisuke Hanada, Takato Kudou, Shusaku Tsumoto:
Ensuring the Security and Availability of a Hospital Wireless LAN System. MedInfo 2013: 166-170
[c269]
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Takahiro Suzuki, Shunsuke Doi, Shinsuke Fujita, Yutaka Hatakeyama, Masayuki Honda, Yasushi Matsumura, Gen Shimada, Mitsuhiro Takasaki, Shusaku Tsumoto, Hideto Yokoi, Katsuhiko Takabayashi:
Construction of the Integrated Multicentre Discharge Summary Database. MedInfo 2013: 1064
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Shusaku Tsumoto, Hidenao Abe:
Mining Clinical Process in Order Histories Using Sequential Pattern Mining Approach. PAKDD Workshops 2013: 234-246
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Shusaku Tsumoto, Shoji Hirano:
Evaluation of Incremental Change of Set-Based Indices. RSKT 2013: 188-199
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Shusaku Tsumoto, Shoji Hirano:
Incremental Induction of Probabilistic Rules Based on Incremental Sampling Scheme. SMC 2013: 812-817
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Shoji Hirano, Shusaku Tsumoto:
Mining Clinical Pathway Candidates from Order History Based on the Clustering of Order Sequences. SMC 2013: 3425-3429
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Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Mining Clinical Pathway Using Clustering and Rule Induction. SMC 2013: 4860-4865
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Andrzej Skowron, Mihir K. Chakraborty, Jerzy W. Grzymala-Busse, Victor W. Marek, Sankar K. Pal, James F. Peters, Grzegorz Rozenberg, Dominik Slezak, Roman Slowinski, Shusaku Tsumoto, Alicja Wakulicz-Deja, Guoyin Wang, Wojciech Ziarko:
Professor Zdzisław Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence. Rough Sets and Intelligent Systems (1) 2013: 1-56
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Shusaku Tsumoto:
Rough Sets and Medical Differential Diagnosis. Rough Sets and Intelligent Systems (1) 2013: 605-621
2012
[j39]
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Yingxu Wang, James A. Anderson, George Baciu, Gerhard Budin, D. Frank Hsu, Mitsuru Ishizuka, Witold Kinsner, Fumio Mizoguchi, Toyoaki Nishida, Kenji Sugawara, Shusaku Tsumoto, Du Zhang:
Perspectives on eBrain and Cognitive Computing. Int. J. Cogn. Informatics Nat. Intell. 6(4): 1-21 (2012)
[j38]
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Hidenao Abe, Shusaku Tsumoto:
Detection of research trends from bibliographical data. Int. J. Data Min. Model. Manag. 4(3): 255-266 (2012)
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Shusaku Tsumoto, Hidenao Abe:
Comparing similarity of concepts identified by temporal patterns of terms in biomedical research documents. ICCI*CC 2012: 86-93
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Shusaku Tsumoto, Haruko Iwata, Shoji Hirano, Yuko Tsumoto:
Exploratory temporal data mining process in hospital information systems. ICCI*CC 2012: 145-152
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Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Temporal data mining of order entry histories for characterization of medical practice. CBMS 2012: 1-4
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Shusaku Tsumoto, Haruko Iwata, Shoji Hirano:
Construction and maintenance of clinical pathways using data mining methods. MIX-HS 2012: 47-52
[c259]
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Shusaku Tsumoto, Shoji Hirano:
Degree of freedom and numbers of subdeterminants in contingency table. GrC 2012: 481-486
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Shusaku Tsumoto, Shoji Hirano:
Geometrical interpretation of pearson residuals. GrC 2012: 487-492
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Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto:
Visualization of doctors' behavior using similarity-based methods. GrC 2012: 767-770
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Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Temporal Data Mining for Nursing Schedule Management. IBICA 2012: 229-234
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Haruko Iwata, Shusaku Tsumoto, Shoji Hirano:
Data-Oriented Construction and Maintenance of Clinical Pathway Using Similarity-Based Data Mining Methods. ICDM Workshops 2012: 293-300
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Shusaku Tsumoto, Shoji Hirano:
Multidimensional temporal mining in clinical data. IHI 2012: 563-572
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Shusaku Tsumoto, Mihoko Otake, Hiroshi Nakajima, Takayuki Fujita, Yan Chow:
Towards data: a human/machine-oriented approach of medical data collection. IHI 2012: 887-888
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Shusaku Tsumoto, Shoji Hirano:
Incremental Rules Induction Method Based on Three Rule Layers. ISMIS 2012: 71-80
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Shusaku Tsumoto, Shoji Hirano:
Incremental Rules Induction Based on Rule Layers. RSKT 2012: 139-148
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Shusaku Tsumoto, Hidenao Abe:
Comparing Similarity of Concepts Identified by Temporal Patterns of Terms in Biomedical Research Documents. RSKT 2012: 232-241
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Shusaku Tsumoto, Shoji Hirano:
Trajectories mining in hospital information systems. SMC 2012: 389-394
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Shusaku Tsumoto, Shoji Hirano:
Information granules in medical differential diagnosis. SMC 2012: 395-401
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Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Data-oriented maintenance of clinical pathway using clustering and multidimensional scaling. SMC 2012: 2596-2600
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Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, Yuko Tsumoto:
Characterizing Hospital Services Using Temporal Data Mining. SRII Global Conference 2012: 219-230
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Shusaku Tsumoto:
Data Mining: From Medical Decision Support to Hospital Management. Journeys to Data Mining 2012: 197-210
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Fabio Massimo Zanzotto, Shusaku Tsumoto, Niels Taatgen, Yiyu Yao:
Brain Informatics - International Conference, BI 2012, Macau, China, December 4-7, 2012. Proceedings. Lecture Notes in Computer Science 7670, Springer 2012, ISBN 978-3-642-35138-9 [contents]
2011
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Shusaku Tsumoto, Shoji Hirano:
Residual as Linear Sum of Matrix Determinants in Multiway Contingency Tables. Int. J. Comput. Intell. Syst. 4(5): 1080-1089 (2011)
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Shusaku Tsumoto, Tzung-Pei Hong:
Special issue on data mining for decision making and risk management. J. Intell. Inf. Syst. 36(3): 249-251 (2011)
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Shusaku Tsumoto, Shoji Hirano:
Detection of risk factors using trajectory mining. J. Intell. Inf. Syst. 36(3): 403-425 (2011)
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Yuko Tsumoto, Shusaku Tsumoto:
Correlation and Regression Analysis for Characterizations of a University Hospital. Rev. Socionetwork Strateg. 5(2): 43-55 (2011)
[j33]
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Hidenao Abe, Shusaku Tsumoto:
Evaluating a Temporal Pattern Detection Method for Finding Research Keys in Bibliographical Data. Trans. Rough Sets 14: 1-17 (2011)
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Shusaku Tsumoto:
Rule induction methods with hierachical sampling. IEEE ICCI*CC 2011: 193-202
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Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, Yuko Tsumoto:
Capturing Behavior of Medical Staff: A Similarity-Oriented Temporal Data Mining Approach. FGIT 2011: 1-16
[c243]
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Hidenao Abe, Shusaku Tsumoto:
Constructing features for document classification by using temporal patterns of term usages. GrC 2011: 30-36
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Shoji Hirano, Shusaku Tsumoto:
A clustering method for asymmetric proximity data based on bi-links with ε-indiscernibility. GrC 2011: 242-245
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Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto:
Clustering-based analysis in hospital information systems. GrC 2011: 669-674
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Shusaku Tsumoto, Shoji Hirano:
Combinatorics of pearson residuals and degree of freedom in contingency tables. GrC 2011: 675-680
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Shusaku Tsumoto:
A new framework for incremental rule induction based on rough sets. GrC 2011: 681-686
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Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto:
Visualization of Hospital Services Using Data Mining Methods. ICDM Workshops 2011: 1183-1190
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Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto:
Information reuse in hospital information systems: A data mining approach. IRI 2011: 172-176
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Shusaku Tsumoto:
Incremental Rule Induction Based on Rough Set Theory. ISMIS 2011: 70-79
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Hidenao Abe, Shusaku Tsumoto:
Mining Classification Rules for Detecting Medication Order Changes by Using Characteristic CPOE Subsequences. ISMIS 2011: 80-89
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Shusaku Tsumoto, Katsuhiko Takabayashi:
Data Mining in Meningoencephalitis: The Starting Point of Discovery Challenge. ISMIS 2011: 133-139
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Hidenao Abe, Shusaku Tsumoto:
Comparing a Clustering Density Criteria of Temporal Patterns of Terms Obtained by Different Feature Sets. RSKT 2011: 248-257
[c232]
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Shusaku Tsumoto, Shoji Hirano:
Information Reuse in Hospital Information Systems: A Similarity-Oriented Data Mining Approach. RSKT 2011: 382-387
[c231]
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Shusaku Tsumoto, Shoji Hirano, Hidenao Abe, Yuko Tsumoto:
Temporal data mining in history data of hospital information systems. SMC 2011: 2350-2356
2010
[j32]
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Shusaku Tsumoto, Shoji Hirano:
Risk Mining in Medicine: Application of Data Mining to Medical Risk Management. Fundam. Informaticae 98(1): 107-121 (2010)
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Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Improving a rule evaluation support method based on objective indices. Int. J. Adv. Intell. Paradigms 2(2/3): 180-197 (2010)
[j30]
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Tsau Young Lin, Rushin Barot, Shusaku Tsumoto:
Some Remarks on the Concept of Approximations from the View of Knowledge Engineering. Int. J. Cogn. Informatics Nat. Intell. 4(2): 1-11 (2010)
[j29]
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Shoji Hirano, Shusaku Tsumoto:
Multiscale Comparison and Clustering of Three-Dimensional Trajectories Based on Curvature Maxima. Int. J. Inf. Technol. Decis. Mak. 9(6): 889-904 (2010)
[j28]
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Yuko Tsumoto, Shusaku Tsumoto:
Exploratory Univariate Analysis on the Characterization of a University Hospital: A Preliminary Step to Data-Mining-Based Hospital Management Using an Exploratory Univariate Analysis of a University Hospital. Rev. Socionetwork Strateg. 4(2): 47-63 (2010)
[c230]
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Shusaku Tsumoto, Shoji Hirano, Hidenao Abe:
Sampling from databases for rule induction methods based on likelihood ratio test. IEEE ICCI 2010: 174-179
[c229]
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Shusaku Tsumoto:
Incremental discovery of probabilistic rules from clinical databases based on rough set theory. IEEE ICCI 2010: 339-344
[c228]
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Hidenao Abe, Shusaku Tsumoto:
Comparing order entry subsequences related to CPOE correction factors. IEEE ICCI 2010: 806-810
[c227]
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Hidenao Abe, Shusaku Tsumoto:
Analysis of Research Keys as Tempral Patterns of Technical Term Usages in Bibliographical Data. AMT 2010: 150-157
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Shoji Hirano, Shusaku Tsumoto:
Hierarchical, Granular Representation of Non-metric Proximity Data. GrC 2010: 217-222
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Shusaku Tsumoto, Shoji Hirano:
Information Granules of Statistical Dependence in Multiway Contingency Tables. GrC 2010: 483-488
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Shusaku Tsumoto, Shoji Hirano:
Geometrical and Combinatorial Nature of Pearson Residuals. GrC 2010: 489-494
[c223]
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Shusaku Tsumoto:
Qualitative Simulation Based on Ranked Hyperreals. GrC 2010: 767-771
[c222]
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Shoji Hirano, Shusaku Tsumoto:
Curvature Maxima-based Trajectories Mining. ICDM Workshops 2010: 257-264
[c221]
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Hidenao Abe, Shusaku Tsumoto:
Text Categorization with Considering Temporal Patterns of Term Usages. ICDM Workshops 2010: 800-807
[c220]
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Shusaku Tsumoto, Shoji Hirano:
Automated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Testing. ICDM Workshops 2010: 835-842
[c219]
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Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto:
Towards Data-Oriented Hospital Services: Data Mining-Based Hospital Management. ICDM Workshops 2010: 1076-1083
[c218]
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Eisuke Hanada, Shusaku Tsumoto, Shotai Kobayashi:
A "Ubiquitous Environment" through Wireless Voice/Data Communication and a Fully Computerized Hospital Information System in a University Hospital. E-HEALTH 2010: 160-168
[c217]
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Hidenao Abe, Shusaku Tsumoto:
Mining Temporal Patterns of Technical Term Usages in Bibliographical Data. Intelligent Information Processing 2010: 130-138
[c216]
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Shusaku Tsumoto, Shoji Hirano, Hidenao Abe:
Automated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods. Intelligent Information Processing 2010: 139-144
[c215]
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Hidenao Abe, Shusaku Tsumoto:
Discovering Research Key Terms as Temporal Patterns of Importance Indices for Text Mining. KES (3) 2010: 297-306
[c214]
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Shoji Hirano, Shusaku Tsumoto:
Representation of Granularity for Non-Euclidian Relational Data by Jaccard Coefficients and Binary Classifications. RSCTC 2010: 721-729
[c213]
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Shusaku Tsumoto, Shoji Hirano, Hidenao Abe:
Likelihood-Based Sampling from Databases for Rule Induction Methods. RSKT 2010: 265-272
[c212]
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Shusaku Tsumoto, Shoji Hirano:
Residual Analysis of Statistical Dependence in Multiway Contingency Tables. RSKT 2010: 273-280
[c211]
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Shoji Hirano, Shusaku Tsumoto:
Multiscale Comparison of Three-Dimensional Trajectories Based on the Curvature Maxima and Its Application to Medicine. SBP 2010: 128-137
[c210]
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Hidenao Abe, Shusaku Tsumoto:
Trend detection from large text data. SMC 2010: 310-315
[c209]
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Shusaku Tsumoto, Shoji Hirano:
Three dimensional trajectories mining. SMC 2010: 500-505
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James F. Peters, Andrzej Skowron, Roman Slowinski, Pawan Lingras, Duoqian Miao, Shusaku Tsumoto:
Transactions on Rough Sets XII. Lecture Notes in Computer Science 6190, Springer 2010, ISBN 978-3-642-14466-0 [contents]

2000 – 2009

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2009
[j27]
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Shusaku Tsumoto, Shoji Hirano:
Statistical Independence and Determinants in a Contingency Table - Interpretation of Pearson Residuals based on Linear Algebra -. Fundam. Informaticae 90(3): 251-267 (2009)
[j26]
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Yingxu Wang, Du Zhang, Shusaku Tsumoto:
Preface: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (I). Fundam. Informaticae 90(3) (2009)
[j25]
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Hidenao Abe, Shusaku Tsumoto:
Investigating Accuracies of Classifications for Randomized Imbalanced Class Distributions. Fundam. Informaticae 90(4): 369-378 (2009)
[j24]
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Shusaku Tsumoto, Shoji Hirano:
Contingency Matrix Theory II: Degree of Dependence as Granularity. Fundam. Informaticae 90(4): 427-442 (2009)
[j23]
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Yingxu Wang, Du Zhang, Shusaku Tsumoto:
Preface: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (II). Fundam. Informaticae 90(4) (2009)
[j22]
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Shusaku Tsumoto:
Contingency matrix theory: Statistical dependence in a contingency table. Inf. Sci. 179(11): 1615-1627 (2009)
[c208]
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Hidenao Abe, Shusaku Tsumoto:
Evaluating a method to detect temporal trends of phrases in research documents. IEEE ICCI 2009: 378-383
[c207]
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Hidenao Abe, Shusaku Tsumoto:
A method to characterize dataset based on objective rule evaluation indices. Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security 2009: 73440D
[c206]
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Shusaku Tsumoto, Shoji Hirano:
Temporal data mining for hospital management. Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security 2009: 73440A
[c205]
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Hidenao Abe, Shusaku Tsumoto:
Detection of trends of technical phrases in text mining. GrC 2009: 7-12
[c204]
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Shusaku Tsumoto, Shoji Hirano, Hidenao Abe:
Multivariate statistical independence and contingency tables. GrC 2009: 544-548
[c203]
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Hidenao Abe, Shusaku Tsumoto:
Detecting Similarity of Transferring Datasets Based on Features of Classification Rules. ICDM Workshops 2009: 412-415
[c202]
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Hidenao Abe, Shusaku Tsumoto:
Detecting Temporal Trends of Technical Phrases by Using Importance Indices and Linear Regression. ISMIS 2009: 251-260
[c201]
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Shusaku Tsumoto, Hidenao Abe:
Evaluation of a Classification Rule Mining Algorithm Based on Secondary Differences. KES (2) 2009: 24-31
[c200]
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Hidenao Abe, Shusaku Tsumoto:
Detecting Temporal Patterns of Importance Indices about Technical Phrases. KES (2) 2009: 252-258
[c199]
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Shoji Hirano, Shusaku Tsumoto:
Multiscale Comparison of Three-Dimensional Trajectories: A Preliminary Step. RSFDGrC 2009: 361-368
[c198]
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Hidenao Abe, Shusaku Tsumoto:
Comparing Temporal Behavior of Phrases on Multiple Indexes with a Burst Word Detection Method. RSFDGrC 2009: 502-509
[c197]
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Hidenao Abe, Shusaku Tsumoto:
A Comparison of Composed Objective Rule Evaluation Indices Using PCA and Single Indices. RSKT 2009: 160-167
[c196]
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Shusaku Tsumoto, Shoji Hirano, Hidenao Abe:
Pearson Residuals in Multi-way Contingency Tables. SMC 2009: 2531-2536
[c195]
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Shusaku Tsumoto:
Distribution of Derminants of Contingency Tables. SMC 2009: 2537-2542
[c194]
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Hidenao Abe, Shusaku Tsumoto:
Detecting Temporal Patterns of Technical Phrases by using Importance Indices in a Research Documents. SMC 2009: 2959-2964
[p11]
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Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Algorithms Composed by a Constructive Meta-learning Scheme for a Rule Evaluation Support Method. Mining Complex Data 2009: 95-111
[e13]
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Sanjay Chawla, Takashi Washio, Shin-ichi Minato, Shusaku Tsumoto, Takashi Onoda, Seiji Yamada, Akihiro Inokuchi:
New Frontiers in Applied Data Mining, PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers. Lecture Notes in Computer Science 5433, Springer 2009, ISBN 978-3-642-00398-1 [contents]
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Peng Wen, Yuefeng Li, Lech Polkowski, Yiyu Yao, Shusaku Tsumoto, Guoyin Wang:
Rough Sets and Knowledge Technology, 4th International Conference, RSKT 2009, Gold Coast, Australia, July 14-16, 2009. Proceedings. Lecture Notes in Computer Science 5589, Springer 2009, ISBN 978-3-642-02961-5 [contents]
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Djamel A. Zighed, Shusaku Tsumoto, Zbigniew W. Ras, Hakim Hacid:
Mining Complex Data. Studies in Computational Intelligence 165, Springer 2009, ISBN 978-3-540-88066-0 [contents]
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Shusaku Tsumoto, Shoji Hirano:
Dependency and Granularity inData. Encyclopedia of Complexity and Systems Science 2009: 1864-1872
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Shusaku Tsumoto:
Rough Set Data Analysis. Encyclopedia of Complexity and Systems Science 2009: 7742-7753
2008
[j21]
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Shusaku Tsumoto, Shoji Hirano:
Contingency Matrix Theory I: Rank and Statistical Independence in a Contigency Table. Trans. Comput. Sci. 2: 161-179 (2008)
[c193]
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Tsau Young Lin, Shusaku Tsumoto:
Qualitative fuzzy sets and granularity. IEEE ICCI 2008: 435-440
[c192]
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Shusaku Tsumoto, Shoji Hirano:
Fuzziness from attribute generalization in information table. IEEE ICCI 2008: 455-461
[c191]
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Shusaku Tsumoto, Shoji Hirano:
Statistical independence in three-variables contingency cube. IEEE ICCI 2008: 468-474
[c190]
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Shusaku Tsumoto, Shoji Hirano:
Mining Trajectories of Laboratory Data using Multiscale Matching and Clustering. CBMS 2008: 626-631
[c189]
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Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama:
Application of data mining to medical risk management. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2008: 697308
[c188]
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Shusaku Tsumoto, Shoji Hirano:
Partial statistical independence in contingency matrix. FUZZ-IEEE 2008: 2412-2419
[c187]
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Shoji Hirano, Shusaku Tsumoto:
Trajectory mining using multiscale matching and clustering. FUZZ-IEEE 2008: 2420-2427
[c186]
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Shusaku Tsumoto, Shoji Hirano:
Decomposition of Pearson Residuals of Three-variables Contingency Cube. GrC 2008: 61-66
[c185]
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Hidenao Abe, Shusaku Tsumoto:
Investigating Accuracies of Rule Evaluation Models on Randomized Labeling and Human Evaluation. GrC 2008: 95-100
[c184]
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Shoji Hirano, Shusaku Tsumoto:
Hierarchical Clustering of Asymmetric Proximity Data based on the Indiscernibility-level. GrC 2008: 275-280
[c183]
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Hidenao Abe, Shusaku Tsumoto:
Comparing Accuracies of Rule Evaluation Models to Determine Human Criteria on Evaluated Rule Sets. ICDM Workshops 2008: 1-7
[c182]
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Shusaku Tsumoto, Shoji Hirano:
Statistical Independence and Contingency Matrix. ICDM Workshops 2008: 643-648
[c181]
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Shusaku Tsumoto, Shoji Hirano:
Hospital Management Based on Data Mining. ISDA (3) 2008: 257-262
[c180]
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Hidenao Abe, Shusaku Tsumoto:
Analyzing Behavior of Objective Rule Evaluation Indices Based on Pearson Product-Moment Correlation Coefficient. ISMIS 2008: 84-89
[c179]
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Hidenao Abe, Shusaku Tsumoto:
Analyzing Behavior of Objective Rule Evaluation Indices Based on a Correlation Coefficient. KES (2) 2008: 758-765
[c178]
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Shoji Hirano, Shusaku Tsumoto:
Detection of Risk Factors as Temporal Data Mining. PAKDD Workshops 2008: 143-156
[c177]
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Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Finding Functional Groups of Objective Rule Evaluation Indices Using PCA. PAKM 2008: 197-206
[c176]
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Shusaku Tsumoto, Shoji Hirano:
Statistical Independence of Multi-variables from the Viewpoint of Linear Algebra. RSCTC 2008: 103-112
[c175]
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Hidenao Abe, Shusaku Tsumoto:
Implementing a Rule Generation Method Based on Secondary Differences of Two Criteria. RSCTC 2008: 293-298
[c174]
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Shoji Hirano, Shusaku Tsumoto:
Hierarchical Clustering of Non-Euclidean Relational Data Using Indiscernibility-Level. RSKT 2008: 332-339
[c173]
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Hidenao Abe, Shusaku Tsumoto:
Analyzing Correlation Coefficients of Objective Rule Evaluation Indices on Classification Rules. RSKT 2008: 467-474
[c172]
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Shusaku Tsumoto, Shoji Hirano:
Statistical dependence in contingency data cube. SMC 2008: 2759-2764
[p10]
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Shusaku Tsumoto, Shoji Hirano:
Risk Mining as New Trends in Hospital Management. Next Generation of Data Mining 2008
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Shoji Hirano, Shusaku Tsumoto:
Discovery of Clusters from Proximity Data: An Approach Using Iterative Adjustment of Binary Classifications. Communications and Discoveries from Multidisciplinary Data 2008: 251-268
[p8]
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Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Algorithms to Support Human Rule Evaluation with Predicting Interestingness Based on Objective Rule Evaluation Indices. Communications and Discoveries from Multidisciplinary Data 2008: 269-282
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Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama:
Risk Mining for Infection Control. Communications and Discoveries from Multidisciplinary Data 2008: 283-297
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Shusaku Tsumoto:
On Pseudo-Statistical Independence in a Contingency Table. Data Mining: Foundations and Practice 2008: 387-403
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Shusaku Tsumoto:
Role of Sample Size and Determinants in Granularity of Contingency Matrix. Data Mining: Foundations and Practice 2008: 405-421
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Zbigniew W. Ras, Shusaku Tsumoto, Djamel A. Zighed:
Mining Complex Data, ECML/PKDD 2007 Third International Workshop, MCD 2007, Warsaw, Poland, September 17-21, 2007, Revised Selected Papers. Lecture Notes in Computer Science 4944, 2008, ISBN 978-3-540-68415-2 [contents]
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Shuichi Iwata, Yukio Ohsawa, Shusaku Tsumoto, Ning Zhong, Yong Shi, Lorenzo Magnani:
Communications and Discoveries from Multidisciplinary Data. Studies in Computational Intelligence 123, Springer 2008, ISBN 978-3-540-78732-7 [contents]
2007
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Miho Ohsaki, Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi:
Evaluation of rule interestingness measures in medical knowledge discovery in databases. Artif. Intell. Medicine 41(3): 177-196 (2007)
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Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Algorithms to Support Human Rule - Evaluation Based on Objective Rule Evaluation Indices. Data Sci. J. 6: 285-296 (2007)
[j18]
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Shusaku Tsumoto, Shoji Hirano:
Visualization of Differences between Rules' Syntactic and Semantic Similarities using Multidimensional Scaling. Fundam. Informaticae 78(4): 561-573 (2007)
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Shusaku Tsumoto, Shoji Hirano:
Detection of interesting rules using visualization of differences between rules' syntactic and semantic similarities using multidimensional scaling. Int. J. Knowl. Based Intell. Eng. Syst. 11(5): 345-354 (2007)
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Shusaku Tsumoto, Shoji Hirano:
Charcteristics of Pearson Residuals in a Contingency Matrix. IEEE ICCI 2007: 195-204
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Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Algorithms to Construct Rule Evaluation Models Based on Objective Rule Evaluation Indices. IEEE ICCI 2007: 212-221
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Shoji Hirano, Shusaku Tsumoto:
Cluster Analysis of Trajectory Data on Hospital Laboratory Examinations. AMIA 2007
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Kimiko Matsuoka, Shigeki Yokoyama, Kunitomo Watanabe, Shusaku Tsumoto:
Mining Rules for Risk Factors on Blood Stream Infection in Hospital Information System. BIBM 2007: 181-187
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Shoji Hirano, Shusaku Tsumoto:
Cluster analysis of temporal trajectories of hospital laboratory examinations. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2007: 65700E
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Shoji Hirano, Shusaku Tsumoto:
Discovery of exacerbating cases in chronic hepatitis based on cluster analysis of time-series platelet count data. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2007: 65700F
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Shoji Hirano, Shusaku Tsumoto:
Trajectory Analysis of Laboratory Tests as Medical Complex Data Mining. MCD 2007: 27-41
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Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Hideto Yokoi, Takahira Yamaguchi:
Evaluation of Learning Costs of Rule Evaluation Models Based on Objective Indices to Predict Human Hypothesis Construction Phases. GrC 2007: 458-464
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Shusaku Tsumoto, Shoji Hirano:
Meaning of Pearson Residuals - Linear Algebra View. GrC 2007: 465-470
[c162]
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Shusaku Tsumoto:
Mining Diagnostic Taxonomy and Diagnostic Rules for Multi-Stage Medical Diagnosis from Hospital Clinical Data. GrC 2007: 611-616
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Shoji Hirano, Shusaku Tsumoto:
Identifying Exacerbating Cases in Chronic Diseases Based on the Cluster Analysis of Trajectory Data on Laboratory Examinations. ICDM Workshops 2007: 151-156
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Kimiko Matsuoka, Shigeki Yokoyama, Kumitomo Watanabe, Shusaku Tsumoto:
Analysis of Relationship between Blood Stream Infection and Clinical Background in Patients' Lactobacillus Therapy by Data Mining. ICDM Workshops 2007: 175-180
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Takashi Washio, Shusaku Tsumoto:
International Workshop on Risk Informatics (RI2007). JSAI 2007: 245-246
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Kimiko Matsuoka, Shigeki Yokoyama, Kunitomo Watanabe, Shusaku Tsumoto:
Data Mining Analysis of Relationship Between Blood Stream Infection and Clinical Background in Patients Undergoing Lactobacillus Therapy. JSAI 2007: 277-288
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Shoji Hirano, Shusaku Tsumoto:
Discovery of Risky Cases in Chronic Diseases: An Approach Using Trajectory Grouping. JSAI 2007: 289-302
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Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating a Constructive Meta-learning Algorithm for a Rule Evaluation Support Method Based on Objective Indices. KES (2) 2007: 934-941
[c155]
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Shusaku Tsumoto, Shoji Hirano:
Visualization of Similarities and Dissimilarities Between Rules Using Multidimensional Scaling. KES (2) 2007: 978-986
[c154]
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Hidenao Abe, Hideto Yokoi, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Models with Transitions of Human Interests Based on Objective Rule Evaluation Indices. MedInfo 2007: 581-585
[c153]
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Shusaku Tsumoto:
Medical Reasoning and Rough Sets. RSEISP 2007: 90-100
[c152]
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Shusaku Tsumoto:
Attribute Generalization and Fuzziness in Data Mining Contexts. RSFDGrC 2007: 379-386
[c151]
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Shoji Hirano, Shusaku Tsumoto:
Dealing with granularity on non-euclidean relational data based on indiscernibility level. SMC 2007: 3772-3777
[c150]
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Shusaku Tsumoto, Shoji Hirano:
Contingency matrix theory. SMC 2007: 3778-3783
[c149]
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Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating learning algorithms for a rule evaluation support method. SMC 2007: 3784-3789
2006
[c148]
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Shusaku Tsumoto:
Data Structure and Algorithm in Data Mining: Granular Computing View. COMPSAC (1) 2006: 26-27
[c147]
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Shusaku Tsumoto:
Visualization of similarities and dissimilarities in rules using MDS. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006: 62410X
[c146]
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Shusaku Tsumoto, Yuko Tsumoto:
Mining hospital management data. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006: 62410W
[c145]
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Shusaku Tsumoto, Shoji Hirano:
Decomposition of Contingency Table as Tensor Product. FUZZ-IEEE 2006: 369-376
[c144]
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Shusaku Tsumoto, Shoji Hirano:
Analysis of sample size effect on dependency of contingency matrix. GrC 2006: 712-715
[c143]
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Shusaku Tsumoto, Shoji Hirano:
Characterization of contextual independence of contingency matrix. GrC 2006: 716-719
[c142]
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Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Algorithms Composed by a Constructive Meta-Learning Scheme for a Rule Evaluation Support Method. ICDM Workshops 2006: 305-310
[c141]
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Shusaku Tsumoto, Shoji Hirano:
Residual Matrix and Statistical Independence in a Contingency Table. ICDM Workshops 2006: 433-437
[c140]
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Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama:
Risk Mining in Hospital Information Systems. ICDM Workshops 2006: 699-704
[c139]
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Miho Ohsaki, Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi:
Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures. ICDM Workshops 2006: 759-764
[c138]
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Shoji Hirano, Shusaku Tsumoto:
Cluster Analysis of Time-Series Medical Data Based on the Trajectory Representation and Multiscale Comparison Techniques. ICDM 2006: 896-901
[c137]
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Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Algorithms for a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices. ISMIS 2006: 379-388
[c136]
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Shoji Hirano, Shusaku Tsumoto:
Characteristics of Indiscernibility Degree in Rough Clustering Examined Using Perfect Initial Equivalence Relations. ISMIS 2006: 454-462
[c135]
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Shusaku Tsumoto, Takashi Washio:
Risk Mining - Overview. JSAI 2006: 303-304
[c134]
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Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Model Construction Methods with Objective Rule Evaluation Indices to Support Human Experts. MDAI 2006: 93-104
[c133]
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Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices. PAKDD 2006: 509-519
[c132]
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Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Hideto Yokoi, Takahira Yamaguchi:
Evaluating Learning Algorithms with Meta-learning Schemes for a Rule Evaluation Support Method Based on Objective Indices. PKAW 2006: 75-88
[c131]
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Shusaku Tsumoto:
Pawlak Rough Set Model, Medical Reasoning and Rule Mining. RSCTC 2006: 53-70
[c130]
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Shusaku Tsumoto, Shoji Hirano:
Distribution of Determinants of Contingency Matrix. RSCTC 2006: 567-576
[c129]
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Shusaku Tsumoto, Shoji Hirano:
Interpretation of Contingency Matrix Using Marginal Distributions. RSCTC 2006: 577-586
[c128]
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Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Models for a Rule Evaluation Support Method Based on Objective Indices. RSCTC 2006: 687-695
[c127]
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Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama:
Risk Mining: Mining Nurses' Incident Factors and Application of Mining Results to Prevention of Incidents. RSCTC 2006: 706-715
[c126]
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Shoji Hirano, Shusaku Tsumoto:
A Framework for Unsupervised Selection of Indiscernibility Threshold in Rough Clustering. RSCTC 2006: 872-881
[c125]
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Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Developing a Rule Evaluation Support Method Based on Objective Indices. RSKT 2006: 456-461
[c124]
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Shoji Hirano, Shusaku Tsumoto:
On the Nature of Degree of Indiscerniblity for Rough Clustering. SMC 2006: 3447-3452
[c123]
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Shusaku Tsumoto, Shoji Hirano:
Meaning of Marginal Distributions in a Contingency Table. SMC 2006: 4753-4758
[c122]
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Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama:
Risk Mining in Hospital Information Systems. SMC 2006: 4802-4806
[c121]
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Shusaku Tsumoto, Yuko Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama:
Risk Mining in Medicine: Application of Data Mining to Medical Risk Management. WImBI 2006: 471-493
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Shusaku Tsumoto:
Statistical Independence as Linear Dependence in a Contingency Table. Foundations and Novel Approaches in Data Mining 2006: 61-73
[p3]
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Yuko Tsumoto, Shusaku Tsumoto:
Mining Hospital Management Data using R. Chance Discoveries in Real World Decision Making 2006: 393-404
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Achim G. Hoffmann, Byeong Ho Kang, Debbie Richards, Shusaku Tsumoto:
Advances in Knowledge Acquisition and Management, Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Guilin, China, August 7-8, 2006, Revised Selected Papers. Lecture Notes in Computer Science 4303, Springer 2006, ISBN 3-540-68955-9 [contents]
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Yukio Ohsawa, Shusaku Tsumoto:
Chance Discoveries in Real World Decision Making: Data-based Interaction of Human Intelligence and Artificial Intelligence. Studies in Computational Intelligence 30, Springer 2006, ISBN 978-3-540-34352-3 [contents]
2005
[j16]
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Shoji Hirano, Shusaku Tsumoto:
Rough representation of a region of interest in medical images. Int. J. Approx. Reason. 40(1-2): 23-34 (2005)
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Shusaku Tsumoto, Shoji Hirano:
Automated discovery of chronological patterns in long time-series medical datasets. Int. J. Intell. Syst. 20(7): 737-757 (2005)
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Shoji Hirano, Shusaku Tsumoto:
Classification of temporal sequences using multiscale matching and rough clustering. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 202-213
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Shusaku Tsumoto, Shoji Hirano:
On statistical independence of a contingency matrix. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 291-302
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Shusaku Tsumoto:
Granularity and statistical independence in a contingency table. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 330-341
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Shusaku Tsumoto, Shoji Hirano:
Degree of Dependence as Granularity in a Contingency Table. GrC 2005: 63-69
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Shoji Hirano, Shusaku Tsumoto:
An indiscernibility-based clustering method. GrC 2005: 468-473
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Shusaku Tsumoto, Shoji Hirano:
Linear independence in a contingency table. GrC 2005: 646-651
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Hidenao Abe, Miho Ohsaki, Shusaku Tsumoto, Takahira Yamaguchi:
Evaluating a Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indices - A Case Study with a Meningitis Data Mining Result. HIS 2005: 169-174
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Shoji Hirano, Shusaku Tsumoto:
Grouping of Soccer Game Records by Multiscale Comparison Technique and Rough Clustering. HIS 2005: 399-404
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Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
A Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indexes. ICDM 2005: 549-552
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Shusaku Tsumoto, Shoji Hirano:
Visualization of Similarities and Dissimilarities in Rules Using Multidimensional Scaling. ISMIS 2005: 38-46
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Shusaku Tsumoto:
Statistical Independence from the Viewpoint of Linear Algebra. ISMIS 2005: 56-64
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Shoji Hirano, Shusaku Tsumoto:
Clustering Time-Series Medical Databases Based on the Improved Multiscale Matching. ISMIS 2005: 612-621
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Shoji Hirano, Shusaku Tsumoto:
On Constructing Clusters from Non-Euclidean Dissimilarity Matrix by Using Rough Clustering. JSAI Workshops 2005: 5-16
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Shusaku Tsumoto, Shoji Hirano:
On Degree of Dependence Based on Contingency Matrix. RSFDGrC (1) 2005: 471-480
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Shoji Hirano, Shusaku Tsumoto:
A Clustering Method for Spatio-temporal Data and Its Application to Soccer Game Records. RSFDGrC (1) 2005: 612-621
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Shoji Hirano, Shusaku Tsumoto:
A Parallel, Structural Comparison Scheme of Time-Series Implemented on a PC Cluster. SAINT Workshops 2005: 344-347
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Shoji Hirano, Shusaku Tsumoto:
Strucutural Comparison and Cluster Analysis of Time-Series Medical Data. SMC 2005: 1506-1511
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Shusaku Tsumoto:
Visualization of differences between rules' syntactic and semantic similarities. SMC 2005: 3588-3592
[c102]
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Shusaku Tsumoto, Shoji Hirano, Hidenao Abe, Hideaki Nakakuni, Eisuke Hanada:
Clinical Decision Support Based on Mobile Telecommunication Systems. Web Intelligence 2005: 700-703
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Shusaku Tsumoto:
On Statistical Independence in a Contingency Table. Foundations of Data Mining and knowledge Discovery 2005: 131-141
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Shusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, Hiroshi Motoda:
Active Mining, Second International Workshop, AM 2003, Maebashi, Japan, October 28, 2003, Revised Selected Papers. Lecture Notes in Computer Science 3430, Springer 2005, ISBN 3-540-26157-5 [contents]
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Mohand-Said Hacid, Neil V. Murray, Zbigniew W. Ras, Shusaku Tsumoto:
Foundations of Intelligent Systems, 15th International Symposium, ISMIS 2005, Saratoga Springs, NY, USA, May 25-28, 2005, Proceedings. Lecture Notes in Computer Science 3488, Springer 2005, ISBN 3-540-25878-7 [contents]
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Tsau Young Lin, Setsuo Ohsuga, Churn-Jung Liau, Xiaohua Hu, Shusaku Tsumoto:
Foundations of Data Mining and knowledge Discovery. Studies in Computational Intelligence 6, Springer 2005, ISBN 978-3-540-26257-2 [contents]
2004
[j14]
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Shusaku Tsumoto:
Extraction of Structure of Medical Diagnosis from Clinical Data. Fundam. Informaticae 59(2-3): 271-285 (2004)
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Shoji Hirano, Xiaoguang Sun, Shusaku Tsumoto:
Comparison of clustering methods for clinical databases. Inf. Sci. 159(2): 155-165 (2004)
[j12]
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Shusaku Tsumoto:
Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model. Inf. Sci. 162(2): 65-80 (2004)
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Shoji Hirano, Shusaku Tsumoto:
Cluster analysis of long time-series medical datasets. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2004: 13-20
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Shusaku Tsumoto:
Rank and independence in contingency table. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2004: 178-189
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Masayuki Numao, Takahira Yamaguchi, Shusaku Tsumoto, Hiroshi Motoda:
Workshop on Active Mining (AM-2004). JSAI Workshops 2004: 463
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Shusaku Tsumoto:
Mining Diagnostic Taxonomy Using Interval-Based Similarity from Clinical Databases. MDAI 2004: 115-126
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Shusaku Tsumoto, Shoji Hirano:
A Comparative Study of Clustering Methods for Long Time-Series Medical Databases. MDAI 2004: 260-272
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Shoji Hirano, Shusaku Tsumoto:
Finding Interesting Pass Patterns from Soccer Game Records. PKDD 2004: 209-218
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Shoji Hirano, Shusaku Tsumoto:
On the Degree of Independence of a Contingency Matrix. Rough Sets and Current Trends in Computing 2004: 219-228
[c94]
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Shoji Hirano, Shusaku Tsumoto:
Detection of Differences between Syntactic and Semantic Similarities. Rough Sets and Current Trends in Computing 2004: 529-538
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Shusaku Tsumoto:
Computational Analysis of Acquired Dyslexia of Kanji Characters based on Conventional and Rough Neural Networks. Rough-Neural Computing: Techniques for Computing with Words 2004: 637-648
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Shusaku Tsumoto, Roman Slowinski, Henryk Jan Komorowski, Jerzy W. Grzymala-Busse:
Rough Sets and Current Trends in Computing, 4th International Conference, RSCTC 2004, Uppsala, Sweden, June 1-5, 2004, Proceedings. Lecture Notes in Computer Science 3066, Springer 2004, ISBN 3-540-22117-4 [contents]
2003
[j11]
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Shusaku Tsumoto:
Automated extraction of hierarchical decision rules from clinical databases using rough set model. Expert Syst. Appl. 24(2): 189-197 (2003)
[j10]
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Shoji Hirano, Shusaku Tsumoto:
An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations -Rough Clustering-. J. Adv. Comput. Intell. Intell. Informatics 7(2): 169-177 (2003)
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Shusaku Tsumoto:
Chance Discovery in Medicine - Detection of Rare Risky Events in Chronic Diseases. New Gener. Comput. 21(2): 135-147 (2003)
[c93]
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Shoji Hirano, Shusaku Tsumoto:
Multiscale Analysis of Long Time-series Medical Databases. AMIA 2003
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Shusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, Hiroshi Motoda:
Active Mining Project: Overview. Active Mining 2003: 1-10
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Shoji Hirano, Shusaku Tsumoto:
Empirical Comparison of Clustering Methods for Long Time-Series Databases. Active Mining 2003: 268-286
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Shusaku Tsumoto, Shoji Hirano, Eisuke Hanada:
Internet-based Decision Support: Towards E-Hospital. COMPSAC 2003: 595-600
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Shusaku Tsumoto:
Automated rule induction with grouping target concepts. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2003: 37-48
[c88]
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Shusaku Tsumoto:
Towards visualization of rules based on rough sets and graphical modeling. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2003: 71-81
[c87]
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Shoji Hirano, Shusaku Tsumoto:
Comparison of similarity measures and clustering methods for time-series medical data mining. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2003: 219-225
[c86]
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Shusaku Tsumoto, Shoji Hirano:
Visualization of Rule's Similarity using Multidimensional Scaling. ICDM 2003: 339-346
[c85]
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Shusaku Tsumoto, Shoji Hirano:
Pattern Discovery based on Rule Induction and Taxonomy Generation. ICDM 2003: 661-664
[c84]
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Shusaku Tsumoto:
Mining Multi-level Diagnostic Process Rules from Clinical Databases Using Rough Sets and Medical Diagnostic Model. IFSA 2003: 362-369
[c83]
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Shoji Hirano, Shusaku Tsumoto:
Indiscernibility-Based Clustering: Rough Clustering. IFSA 2003: 378-386
[c82]
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Shusaku Tsumoto:
Mining Diagnostic Rules with Taxonomy from Medical Databases. ISMIS 2003: 40-48
[c81]
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Shoji Hirano, Shusaku Tsumoto:
Empirical Evaluation of Dissimilarity Measures for Time-Series Multiscale Matching. ISMIS 2003: 454-462
[c80]
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Shoji Hirano, Shusaku Tsumoto:
Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach. PAKDD 2003: 513-518
[c79]
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Shoji Hirano, Shusaku Tsumoto:
An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations. PKDD 2003: 192-203
[c78]
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Shusaku Tsumoto:
Mining Rules of Multi-level Diagnostic Procedure from Databases. PKDD 2003: 459-470
[c77]
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Shusaku Tsumoto:
Extracting Structure of Medical Diagnosis: Rough Set Approach. RSFDGrC 2003: 78-88
[c76]
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Shusaku Tsumoto:
Characteristics of Accuracy and Coverage in Rule Induction. RSFDGrC 2003: 237-244
[c75]
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Shusaku Tsumoto:
Linear Independence in Contingency Table. RSFDGrC 2003: 316-319
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Shusaku Tsumoto:
Web based medical decision support system: application of internet to telemedicine. SAINT Workshops 2003: 288-293
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Shusaku Tsumoto:
Extracting diagnostic taxonomy using rough sets. SMC 2003: 2696-2701
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Shusaku Tsumoto:
Web Based Medical Decision Support System for Neurological Diseases. Web Intelligence 2003: 629-632
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Shusaku Tsumoto:
Statistical Independence as Linear Independence. RSKD 2003: 274-285
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Shusaku Tsumoto:
Rule Induction with Grouping Target Concepts based on Rough Sets. RSKD 2003: 286-297
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Ning Zhong, Zbigniew W. Ras, Shusaku Tsumoto, Einoshin Suzuki:
Foundations of Intelligent Systems, 14th International Symposium, ISMIS 2003, Maebashi City, Japan, October 28-31, 2003, Proceedings. Lecture Notes in Computer Science 2871, Springer 2003, ISBN 3-540-20256-0 [contents]
2002
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Shusaku Tsumoto, Shoji Hirano, Akira Yasuda, Kouhei Tsumoto:
Analysis of amino-acid sequences by statistical technique. Inf. Sci. 145(3-4): 205-214 (2002)
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Shoji Hirano, Shusaku Tsumoto:
Mining Interesting Patterns in Time-series Medical Databases: A Hybrid Approach of Multiscale Matching and Rough Clustering. AMIA 2002
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Shusaku Tsumoto, Tsau Young Lin, James F. Peters:
Foundations of Data Mining via Granular and Rough Computing. COMPSAC 2002: 1123-1124
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Shoji Hirano, Xiaoguang Sun, Shusaku Tsumoto:
On Similarity Measures for Cluster Analysis in Clinical Laboratory Examination Databases. COMPSAC 2002: 1170-1175
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Shusaku Tsumoto:
Rule and Matroid Theory. COMPSAC 2002: 1176-1181
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Shusaku Tsumoto:
Comparison of induced rules based on likelihood estimation. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2002: 192-202
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Xiaoguang Sun, Shoji Hirano, Shusaku Tsumoto:
Evaluation of similarity measures for analysis of databases on laboratory examinations. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2002: 324-333
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Shusaku Tsumoto:
Statistical test for rough set approximation. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2002: 410-421
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Shusaku Tsumoto:
Discovery of Positive and Negative Knowledge in Medical Databases Using Rough Sets. Progress in Discovery Science 2002: 543-552
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Shusaku Tsumoto:
Statistical evidence for rough set analysis. FUZZ-IEEE 2002: 757-762
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Shoji Hirano, Xiaoguang Sun, Shusaku Tsumoto:
Dealing with multiple types of expert knowledge in medical image segmentation: a rough sets style approach. FUZZ-IEEE 2002: 884-889
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Shoji Hirano, Shusaku Tsumoto:
Mining Similar Temporal Patterns in Long Time-Series Data and Its Application to Medicine. ICDM 2002: 219-226
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Shusaku Tsumoto:
Automated Discovery of Decision Rule Chains Using Rough Sets and Medical Diagnostic Model. ISMIS 2002: 321-332
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Shusaku Tsumoto, Shoji Hirano, Akira Yasuda, Kouhei Tsumoto:
Analysis of Amino Acid Sequences by Statistical Technique. JCIS 2002: 1169-1173
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Shoji Hirano, Shusaku Tsumoto:
Multiscale Comparison of Temporal Patternsin Time-Series Medical Databases. PKDD 2002: 188-199
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Shusaku Tsumoto:
Mining Hierarchical Decision Rules from Clinical Databases Using Rough Sets aaand Medical Diagnostic Model. PKDD 2002: 423-434
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Shusaku Tsumoto:
Accuracy and Coverage in Rough Set Rule Induction. Rough Sets and Current Trends in Computing 2002: 373-380
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Shusaku Tsumoto:
Statistical Test for Rough Set Approximation Based on Fisher's Exact Test. Rough Sets and Current Trends in Computing 2002: 381-388
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Shoji Hirano, Shusaku Tsumoto:
Segmentation of Medical Images Based on Approximations in Rough Set Theory. Rough Sets and Current Trends in Computing 2002: 554-563
2001
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Shoji Hirano, Shusaku Tsumoto:
A Knowledge-Oriented Clustering Technique Based on Rough Sets. COMPSAC 2001: 632-637
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Shusaku Tsumoto:
Statistical extension of rough set rule induction. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2001: 180-188
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Shusaku Tsumoto:
Medical knowledge discovery in hospital information systems. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2001: 229-237
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Shoji Hirano, Xiaoguang Sun, Shusaku Tsumoto:
Analysis of Time-series Medical Databases Using Multiscale Structure Matching and Rough Sets-based. FUZZ-IEEE 2001: 1547-1550
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Shusaku Tsumoto:
Medical Diagnostic Rules As Upper Approximation of Rough Sets. FUZZ-IEEE 2001: 1551-1554
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Shoji Hirano, Shusaku Tsumoto:
Indiscernibility Degree of Objects for Evaluating Simplicity of Knowledge in the Clustering Procedure. ICDM 2001: 211-217
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Shusaku Tsumoto, Shoji Hirano, Masahiro Inuiguchi:
Workshop on Rough Set Theory and Granular Computing - Summary. JSAI Workshops 2001: 239
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Shoji Hirano, Shusaku Tsumoto, Tomohiro Okuzaki, Yutaka Hata:
A Clustering Method for Nominal and Numerical Data Based on Rough Set Theory. JSAI Workshops 2001: 400-405
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Shoji Hirano, Shusaku Tsumoto, Tomohiro Okuzaki, Yutaka Hata:
A Clustering Method Based on Rough Sets and Its Application to Knowledge Discovery in the Medical Database. MedInfo 2001: 206-210
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Masami Nagira, Shusaku Tsumoto:
An Approach to Electronization of Hand-written Patient Records - Scanned Hand-Written Chart. MedInfo 2001: 788
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Shoji Hirano, Tomohiro Okuzaki, Yutaka Hata, Shusaku Tsumoto, Kouhei Tsumoto:
A Rough Set-Based Clustering Method with Modification of Equivalence Relations. PAKDD 2001: 507-512
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Shusaku Tsumoto:
Discovery of Temporal Knowledge in Medical Time-Series Databases Using Moving Average, Multiscale Matching, and Rule Induction. PKDD 2001: 448-459
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Shusaku Tsumoto:
Mining Positive and Negative Knowledge in Clinical Databases Based on Rough Set Model. PKDD 2001: 460-471
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Takao Terano, Toyoaki Nishida, Akira Namatame, Shusaku Tsumoto, Yukio Ohsawa, Takashi Washio:
New Frontiers in Artificial Intelligence, Joint JSAI 2001 Workshop Post-Proceedings. Lecture Notes in Computer Science 2253, Springer 2001, ISBN 3-540-43070-9 [contents]
2000
[j7]
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Shusaku Tsumoto:
Knowledge discovery in clinical databases and evaluation of discovered knowledge in outpatient clinic. Inf. Sci. 124(1-4): 125-137 (2000)
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Shusaku Tsumoto:
Problems with Mining Medical Data. COMPSAC 2000: 467-468
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Shusaku Tsumoto:
Discovery of approximate concepts in clinical databases based on a rough set model. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2000: 74-81
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Shusaku Tsumoto:
Fuzzification of attribute-oriented generalization and its application to medicine. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2000: 100-107
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Shusaku Tsumoto:
Discovery of Clinical Knowledge in Hospital Information Systems: Two Case Studies. ISMIS 2000: 573-581
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Einoshin Suzuki, Shusaku Tsumoto:
Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets. PAKDD 2000: 208-211
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Andrzej Skowron, Jaroslaw Stepaniuk, Shusaku Tsumoto:
Information Granules for Spatial Reasoning. PAKDD 2000: 380-383
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Shusaku Tsumoto:
Clinical Knowledge Discovery in Hospital Information Systems: Two Case Studies. PKDD 2000: 652-656
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Shusaku Tsumoto:
An Approach to Statistical Extention of Rough Set Rule Induction. Rough Sets and Current Trends in Computing 2000: 362-369
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Shusaku Tsumoto:
Diagnostic Reasoning from the Viewpoint of Rough Sets. Rough Sets and Current Trends in Computing 2000: 495-502

1990 – 1999

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1999
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Shusaku Tsumoto:
Knowledge Discovery in Clinical Databases: An Experiment with Rule Induction and Statistics. ISMIS 1999: 349-357
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Shusaku Tsumoto:
Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion. PAKDD 1999: 210-219
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Shusaku Tsumoto:
Rule Discovery in Databases with Missing Values Based on Rough Set Model. PAKDD 1999: 274-278
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Shusaku Tsumoto:
Rule Discovery in Large Time-Series Medical Databases. PKDD 1999: 23-31
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Shusaku Tsumoto:
Knowledge Discovery in Medical Multi-databases: A Rough Set Approach. PKDD 1999: 147-155
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Shinsuke Sugaya, Einoshin Suzuki, Shusaku Tsumoto:
Support Vector Machines for Knowledge Discovery. PKDD 1999: 561-567
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Shusaku Tsumoto:
Discovery of Rules about Compilations - A Rough Set Approach in Medical Knowledge Discovery. RSFDGrC 1999: 29-37
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Shusaku Tsumoto, Tsau Young Lin:
Context-Free Fuzzy Sets in Data Mining Context. RSFDGrC 1999: 212-220
1998
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Shusaku Tsumoto:
Extraction of Experts' Decision Rules from Clinical Databases Using Rough Set Model. Intell. Data Anal. 2(1-4): 215-227 (1998)
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Shusaku Tsumoto:
Automated Extraction of Medical Expert System Rules from Clinical Databases on Rough Set Theory. Inf. Sci. 112(1-4): 67-84 (1998)
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Shusaku Tsumoto:
Automated knowledge acquisition from clinical databases based on rough sets and attribute-oriented generalization. AMIA 1998
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Shusaku Tsumoto, Hiroshi Tanaka:
Automated Acquisition of Rules from Clinical Databases and its Evaluation. MedInfo 1998: 649-653
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Shusaku Tsumoto:
Discovery of Approximate Medical Knowledge Based on Rough Set Model. PKDD 1998: 468-476
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Shusaku Tsumoto:
Modelling Medical Diagnostic Rules Based on Rough Sets. Rough Sets and Current Trends in Computing 1998: 475-482
1997
[c17]
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Shusaku Tsumoto, Hiroshi Tanaka:
Incremental learning of probabilistic rules from clinical databases based on rough set theory. AMIA 1997
[c16]
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Shusaku Tsumoto:
Induction of Positive and Negative Deterministic Rules based on Rough Set Model. ISMIS 1997: 298-307
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Shusaku Tsumoto:
Extraction of Experts' Decision Process from Clinical Databases Using Rough Set Model. PKDD 1997: 58-67
1996
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Shusaku Tsumoto, Hiroshi Tanaka:
A Common Algebraic Framework of Empirical Learning Methods Based on Rough Sets and Matroid Theory. Fundam. Informaticae 27(2/3): 273-288 (1996)
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Shusaku Tsumoto, Hiroshi Tanaka:
Machine Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of Representation. Intell. Autom. Soft Comput. 2(2): 169-180 (1996)
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Shusaku Tsumoto, Hiroshi Tanaka:
Induction of Expert System Rules from Databases Based on Rough Set Theory and Resampling Methods. ISMIS 1996: 128-138
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Shusaku Tsumoto, Wojciech Ziarko:
The Application of Rough Sets-Based Data Mining Technique to Differential Diagnosis of Meningoenchepahlitis. ISMIS 1996: 438-447
[c12]
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Shusaku Tsumoto, Hiroshi Tanaka:
Automated Discovery of Medical Expert System Rules from Clinical Databases Based on Rough Sets. KDD 1996: 63-69
1995
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Shusaku Tsumoto, Hiroshi Tanaka:
PRIMEROSE: Probabilistic Rule Induction Method based on Rough Sets and Resampling Methods. Comput. Intell. 11: 389-405 (1995)
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Shusaku Tsumoto, Hiroshi Tanaka, Hiromi Amano, Kimie Ohyama, Takayuki Kuroda:
COBRA: Integration of Heterogeneous Knowledge-Bases in Medical Domain. Int. J. Cooperative Inf. Syst. 4(4): 387-404 (1995)
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Shusaku Tsumoto, Hiroshi Tanaka, Hiromi Amano, Kimie Ohyama, Takayuki Kuroda:
COBRA: Integration of Knowledge-Bases with Case-Databases in the Domain of Congenital Malformation. AIME 1995: 393-394
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Shusaku Tsumoto, Hiroshi Tanaka:
Induction of Expert System Rules from Clinical Databases Based on Rough Set Theory and Resampling Methods. AIME 1995: 399-400
[c9]
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Shusaku Tsumoto, Hiroshi Tanaka:
Automated Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Statistical Testing. KDD 1995: 312-317
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Shusaku Tsumoto, Hiroshi Tanaka:
Automated Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of Representation. KDD 1995: 318-324
[c7]
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Shusaku Tsumoto, Hiroshi Tanaka:
Algebraic Formulation of Empirical Learning Methods Based on Rough Sets and Matroid Theory. WOCFAI 1995: 393-404
1994
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Shusaku Tsumoto, Hiroshi Tanaka:
Algebraic Specification of Empirical Inductive Learning Methods based on Rough Sets and Matroid Theory. AISMC 1994: 224-243
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Shusaku Tsumoto, Hiroshi Tanaka:
Selection of Probabilistic Measure Estimation Method Based on Recursive Iteration of Resampling Methods. KDD Workshop 1994: 121-132
1993
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Shusaku Tsumoto, Hiroshi Tanaka:
Induction of Probabilistic Rules Based on Rough Set Theory. ALT 1993: 410-423
[c3]
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Shusaku Tsumoto, Hiroshi Tanaka:
PRIMEROSE: Probabilistic Rule Induction Method Based on Rough Set Theory. RSKD 1993: 274-281
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Shusaku Tsumoto, Hiroshi Tanaka:
AQ, Rough Sets, and Matroid Theory. RSKD 1993: 290-297

1980 – 1989

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1985
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Yasushi Matsumura, Takashi Matsunaga, Yusuke Maeda, Shusaku Tsumoto, Hiroshi Matsumura, Michio Kimura:
Consultation System for Diagnosis of Headache and Facial Pain: "RHINOS". LP 1985: 287-298

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