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2020 – today
- 2023
[j15]Makhlouf Ledmi, Mohammed El Habib Souidi, Michael Hahsler, Abdeldjalil Ledmi, Chafia Kara-Mohamed:
Mining association rules for classification using frequent generator itemsets in arules package. Int. J. Data Min. Model. Manag. 15(2): 203-221 (2023)- [i8]Michael Hahsler:
ARULESPY: Exploring Association Rules and Frequent Itemsets in Python. CoRR abs/2305.15263 (2023) - [i7]Antônio Junior Alves Caiado, Michael Hahsler:
AI Content Self-Detection for Transformer-based Large Language Models. CoRR abs/2312.17289 (2023) - 2022
- [i6]Michael Hahsler:
recommenderlab: An R Framework for Developing and Testing Recommendation Algorithms. CoRR abs/2205.12371 (2022) - 2020
- [j14]Xinyi Ding
, Zohreh Raziei, Eric C. Larson, Eli V. Olinick, Paul Krueger, Michael Hahsler:
Swapped face detection using deep learning and subjective assessment. EURASIP J. Inf. Secur. 2020: 6 (2020)
2010 – 2019
- 2019
- [j13]Michael Hahsler, Ian Johnson, Tomás Kliegr, Jaroslav Kuchar:
Associative Classification in R: arc, arulesCBA, and rCBA. R J. 11(2): 254 (2019) - [i5]Xinyi Ding, Zohreh Raziei, Eric C. Larson, Eli V. Olinick, Paul Krueger, Michael Hahsler:
Swapped Face Detection using Deep Learning and Subjective Assessment. CoRR abs/1909.04217 (2019) - 2017
- [j12]Jake Drew, Michael Hahsler, Tyler Moore:
Polymorphic malware detection using sequence classification methods and ensembles. EURASIP J. Inf. Secur. 2017: 2 (2017) - [j11]Michael Hahsler:
An experimental comparison of seriation methods for one-mode two-way data. Eur. J. Oper. Res. 257(1): 133-143 (2017) - [j10]Michael Hahsler:
arulesViz: Interactive Visualization of Association Rules with R. R J. 9(2): 163 (2017) - 2016
- [j9]Michael Hahsler, Matthew Bolaños:
Clustering Data Streams Based on Shared Density between Micro-Clusters. IEEE Trans. Knowl. Data Eng. 28(6): 1449-1461 (2016) - [c24]Jake Drew, Tyler Moore, Michael Hahsler:
Polymorphic Malware Detection Using Sequence Classification Methods. IEEE Symposium on Security and Privacy Workshops 2016: 81-87 - 2015
- [c23]Anurag Nagar, Michael Hahsler, Hisham Al-Mubaid:
Association rule mining of gene ontology annotation terms for SGD. CIBCB 2015: 1-7 - [c22]Sudheer Chelluboina, Michael Hahsler:
Trajectory Segmentation Using Oblique Envelopes. IRI 2015: 470-475 - 2014
- [c21]Jake Drew, Michael Hahsler:
Strand: fast sequence comparison using mapreduce and locality sensitive hashing. BCB 2014: 506-513 - 2013
- [j8]Anurag Nagar, Michael Hahsler:
Fast discovery and visualization of conserved regions in DNA sequences using quasi-alignment. BMC Bioinform. 14(S-11): S2 (2013) - [c20]Anurag Nagar, Michael Hahsler:
Genomic Sequence Fragment Identification using Quasi-Alignment. BCB 2013: 359 - 2012
- [c19]Anurag Nagar, Michael Hahsler:
A novel quasi-alignment-based method for discovering conserved regions in genetic sequences. BIBM Workshops 2012: 662-669 - [c18]Maya El Dayeh, Michael Hahsler:
Biological pathway completion using network motifs and random walks on graphs. CIBCB 2012: 229-236 - [c17]Matthew Bolaños, John Forrest, Michael Hahsler:
Clustering Large Datasets Using Data Stream Clustering Techniques. GfKl 2012: 135-143 - [c16]Charlie Isaksson, Margaret H. Dunham, Michael Hahsler:
SOStream: Self Organizing Density-Based Clustering over Data Stream. MLDM 2012: 264-278 - [c15]Maya El Dayeh, Michael Hahsler:
Analyzing incomplete biological pathways using network motifs. SAC 2012: 1355-1360 - 2011
- [j7]Michael Hahsler, Sudheer Chelluboina, Kurt Hornik, Christian Buchta:
The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets. J. Mach. Learn. Res. 12: 2021-2025 (2011) - [c14]Vladimir Jovanovic, Margaret H. Dunham, Michael Hahsler, Yu Su:
Evaluating Hurricane Intensity Prediction Techniques in Real Time. ICDM Workshops 2011: 23-29 - [c13]Michael Hahsler, Margaret H. Dunham:
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time. SDM 2011: 664-675 - 2010
- [j6]Rao M. Kotamarti, Michael Hahsler, Douglas Raiford, Monnie McGee, Margaret H. Dunham:
Analyzing taxonomic classification using extensible Markov models. Bioinform. 26(18): 2235-2241 (2010) - [j5]Margaret H. Dunham, Michael Hahsler, Myra Spiliopoulou:
Novel data stream pattern mining report on the StreamKDD'10 workshop. SIGKDD Explor. 12(2): 54-55 (2010) - [c12]Rao M. Kotamarti, Michael Hahsler, Douglas W. Raiford, Margaret H. Dunham:
Sequence transformation to a complex signature form for consistent phylogenetic tree using Extensible Markov Model. CIBCB 2010: 1-8 - [c11]Yu Su, Sudheer Chelluboina, Michael Hahsler, Margaret H. Dunham:
A New Data Mining Model for Hurricane Intensity Prediction. ICDM Workshops 2010: 98-105 - [e1]Margaret H. Dunham, Michael Hahsler, Myra Spiliopoulou:
Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques, StreamKDD '10, Washington, D.C., USA, July 25, 2010. ACM 2010, ISBN 978-1-4503-0226-5 [contents]
2000 – 2009
- 2008
- [j4]Michael Hahsler, Christian Buchta, Kurt Hornik:
Selective association rule generation. Comput. Stat. 23(2): 303-315 (2008) - [i4]Michael Hahsler, Christian Buchta, Kurt Hornik:
Selective association rule generation. CoRR abs/0803.0954 (2008) - [i3]Michael Hahsler, Kurt Hornik:
New probabilistic interest measures for association rules. CoRR abs/0803.0966 (2008) - [i2]Michael Hahsler:
Optimizing Web Sites for Customer Retention. CoRR abs/0803.1104 (2008) - [i1]Michael Hahsler:
A Model-Based Frequency Constraint for Mining Associations from Transaction Data. CoRR abs/0803.3224 (2008) - 2007
- [j3]Michael Hahsler, Kurt Hornik:
New probabilistic interest measures for association rules. Intell. Data Anal. 11(5): 437-455 (2007) - 2006
- [j2]Michael Hahsler:
A Model-Based Frequency Constraint for Mining Associations from Transaction Data. Data Min. Knowl. Discov. 13(2): 137-166 (2006) - [c10]Christoph Breidert, Michael Hahsler:
Adaptive Conjoint Analysis for Pricing Music Downloads. GfKl 2006: 409-416 - [c9]Michael Hahsler, Kurt Hornik:
Building on the Arules Infrastructure for Analyzing Transaction Data with R. GfKl 2006: 449-456 - 2005
- [c8]Michael Hahsler, Kurt Hornik, Thomas Reutterer:
Implications of Probabilistic Data Modeling for Mining Association Rules. GfKl 2005: 598-605 - [c7]Michael Hahsler, Stefan Koch:
Discussion of a Large-Scale Open Source Data Collection Methodology. HICSS 2005 - 2004
- [c6]Christoph Breidert, Michael Hahsler, Lars Schmidt-Thieme:
Reservation Price Estimation by Adaptive Conjoint Analysis. GfKl 2004: 569-576 - 2003
- [j1]Michael Hahsler:
Integrating Digital Document Acquisition into a University Library: A Case Study of Social and Organizational Challenges. J. Digit. Inf. Manag. 1(4): 162-171 (2003) - [c5]Edward Bernroider, Michael Hahsler, Stefan Koch, Volker Stix:
Data Envelopment Analysis zur Unterstützung der Auswahl und Einführung von ERP-Systemen. Informationswirtschaft: Ein Sektor mit Zukunft 2003: 11-26 - [c4]Andreas Geyer-Schulz, Michael Hahsler, Andreas W. Neumann, Anke Thede:
Recommenderdienste für wissenschaftliche Bibliotheken und Bibliotheksverbünde. Informationswirtschaft: Ein Sektor mit Zukunft 2003: 43-57 - 2002
- [c3]Andreas Geyer-Schulz, Michael Hahsler:
Comparing Two Recommender Algorithms with the Help of Recommendations by Peers. WEBKDD 2002: 137-158 - 2001
- [c2]Andreas Geyer-Schulz, Michael Hahsler, Maximillian Jahn:
A Customer Purchase Incidence Model Applied to Recommender Services. WEBKDD 2001: 25-47 - [c1]Andreas Geyer-Schulz, Michael Hahsler, Maximillian Jahn:
Wissenschaftliche Recommendersysteme in Virtuellen Universitäten. UH 2001: 101-114
Coauthor Index
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