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ORCID3rd RSCTC 2002: Malvern, PA, USA
- James J. Alpigini, James F. Peters, Jacek Skowronek, Ning Zhong:
Rough Sets and Current Trends in Computing, Third International Conference, RSCTC 2002, Malvern, PA, USA, October 14-16, 2002, Proceedings. Lecture Notes in Computer Science 2475, Springer 2002, ISBN 3-540-44274-X
Keynote Papers
- Zdzislaw Pawlak:
In Pursuit of Patterns in Data Reasoning from Data - The Rough Set Way. 1-9 - Lotfi A. Zadeh:
Toward a Theory of Hierarchical Definability (THD). 10-12
Plenary Papers
- Henryk Jan Komorowski
:
Modelling Biological Phenomena with Rough Sets. 13 - Tsau Young Lin:
Database Mining on Derived Attributes. 14-32 - David W. Russell:
A Proposed Evolutionary, Self-Organizing Automaton for the Control of Dynamic Systems. 33-43 - Roman Slowinski, Salvatore Greco, Benedetto Matarazzo:
Rough Set Analysis of Preference-Ordered Data. 44-59 - I. Burhan Türksen:
Fuzzy Sets, Multi-valued Mappings, and Rough Sets. 60
Foundations and Methods I
- Malcolm J. Beynon:
Investigating the Choice of l and u Values in the Extended Variable Precision Rough Sets Model. 61-68 - Gianpiero Cattaneo, Davide Ciucci:
A Quantitative Analysis of Preclusivity vs. Similarity Based Rough Approximations. 69-76 - Gianpiero Cattaneo, Davide Ciucci:
Heyting Wajsberg Algebras as an Abstract Environment Linking Fuzzy and Rough Sets. 77-84 - Salvatore Greco, Masahiro Inuiguchi, Roman Slowinski:
Dominance-Based Rough Set Approach Using Possibility and Necessity Measures. 85-92 - Salvatore Greco, Zdzislaw Pawlak, Roman Slowinski:
Generalized Decision Algorithms, Rough Inference Rules, and Flow Graphs. 93-104 - Masahiro Inuiguchi, Tetsuzo Tanino:
Generalized Rough Sets and Rule Extraction. 105-112 - Ryszard Janicki:
Towards a Mereological System for Direct Products and Relations. 113-122 - Jouni Järvinen:
On the Structure of Rough Approximations. 123-130 - Radoslaw P. Katarzyniak, Ngoc Thanh Nguyen:
Modification of Weights of Conflict Profile's Elements and Dependencies of Attributes in Consensus Model. 131-138 - Qing Liu, S. L. Jiang:
Reasoning about Information Granules Based on Rough Logic. 139-143
Foundations and Methods II
- Herman Midelfart, Henryk Jan Komorowski:
A Rough Set Framework for Learning in a Directed Acyclic Graph. 144-155 - Mikhail Moshkov:
On Compressible Information Systems. 156-160 - Michinori Nakata, Tetsuya Murai:
Functional Dependencies in Relational Expressions Based on Or-Sets. 161-166 - Lech Polkowski:
On Asymptotic Properties of Rough-Set-Theoretic Approximations. Fractal Dimension, Exact Sets, and Rough Inclusion in Potentially Infinite Information Systems. 167-174 - Jacek Pomykala:
About Tolerance and Similarity Relations in Information Systems. 175-182 - Frederick V. Ramsey, James J. Alpigini:
Rough Sets, Guarded Command Language, and Decision Rules. 183-188 - Zbigniew W. Ras, Agnieszka Dardzinska:
Collaborative Query Processing in DKS Controlled by Reducts. 189-196 - Wojciech Rzasa, Zbigniew Suraj:
A New Method for Determining of Extensions and Restrictions of Information Systems. 197-204 - Aida Vitória, Jan Maluszynski:
A Logic Programming Framework for Rough Sets. 205-212 - G. Y. Wang:
Attribute Core of Decision Table. 213-217
Foundations and Methods III
- Maciej Borkowski:
Signal Analysis Using Rough Integrals. 218-225 - Yi-Ting Chiang, Yu-Cheng Chiang, Tsan-sheng Hsu, Churn-Jung Liau, Da-Wei Wang:
How Much Privacy? - A System to Safe Guard Personal Privacy while Releasing Databases. 226-233 - Hércules Antônio do Prado, Paulo Martins Engel, Homero Chaib Filho:
Rough Clustering: An Alternative to Find Meaningful Clusters by Using the Reducts from a Dataset. 234-238 - Vincent Dubois, Mohamed Quafafou:
Concept Learning with Approximation: Rough Version Spaces. 239-246 - Silvio Giove, Salvatore Greco, Benedetto Matarazzo, Roman Slowinski:
Variable Consistency Monotonic Decision Trees. 247-254 - Salvatore Greco, Benedetto Matarazzo, Roman Slowinski, Jerzy Stefanowski:
Importance and Interaction of Conditions in Decision Rules. 255-262 - Pawan Lingras, Y. Y. Yao:
Time Complexity of Rough Clustering: GAs versus K-Means. 263-270 - Jerzy Stefanowski, Alexis Tsoukiàs:
Induction of Decision Rules and Classification in the Valued Tolerance Approach. 271-278 - Julio J. Valdés, Gabriel Mateescu:
Time Series Model Mining with Similarity-Based Neuro-Fuzzy Networks and Genetic Algorithms: A Parallel Implementation. 279-288
Granular and Neuro Computing
- James J. Alpigini:
Closeness of Performance Map Information Granules: A Rough Set Approach. 289-295 - Tsau Young Lin:
Granular Computing on Binary Relations. 296-299 - James F. Peters, Andrzej Skowron, Zbigniew Suraj, Maciej Borkowski, Wojciech Rzasa:
Measures of Inclusion and Closeness of Information Granules: A Rough Set Approach. 300-307 - James F. Peters, Marcin S. Szczuka:
Rough Neurocomputing: A Survey of Basic Models of Neurocomputation. 308-315 - Andrzej Skowron, Jaroslaw Stepaniuk, James F. Peters:
Rough Neurocomputing Based on Hierarchical Classifiers. 316-323 - Ronald R. Yager:
Using Granular Objects in Multi-source Data Fusion. 324-330 - J. T. Yao, Y. Y. Yao:
Induction of Classification Rules by Granular Computing. 331-338
Probabilistic Reasoning
- Cory J. Butz, Manon J. Sanscartier:
Acquisition Methods for Contextual Weak Independence. 339-343 - Cory J. Butz, Manon J. Sanscartier:
A Method for Detecting Context-Specific Independence in Conditional Probability Tables. 344-348 - Cory J. Butz, Manon J. Sanscartier:
Properties of Weak Conditional Independence. 349-356 - Rolly Intan, Masao Mukaidono:
A Proposal of Probability of Rough Event Based on Probability of Fuzzy Event. 357-364 - Dominik Slezak, Jakub Wroblewski:
Approximate Bayesian Network Classifiers. 365-372 - Shusaku Tsumoto:
Accuracy and Coverage in Rough Set Rule Induction. 373-380 - Shusaku Tsumoto:
Statistical Test for Rough Set Approximation Based on Fisher's Exact Test. 381-388 - S. K. Michael Wong, Dan Wu, Cory J. Butz:
Triangulation of Bayesian Networks: A Relational Database Perspective. 389-396
Data Mining, Machine Learning, and Pattern Recognition
- Jan G. Bazan, Marcin S. Szczuka, Jakub Wroblewski:
A New Version of Rough Set Exploration System. 397-404 - Grzegorz Góra, Arkadiusz Wojna:
Local Attribute Value Grouping for Lazy Rule Induction. 405-412 - Rafal Latkowski:
Incomplete Data Decomposition for Classification. 413-420 - Juan Francisco Martínez Sarrías, Anita Wasilewska, Michael Hadjimichael, Covadonga Fernández, Ernestina Menasalvas Ruiz:
Extension of Relational Management Systems with Data Mining Capabilities. 421-424 - Michal Mikolajczyk:
Reducing Number of Decision Rules by Joining. 425-432 - Hung Son Nguyen:
Scalable Classification Method Based on Rough Sets. 433-440 - José M. Peña, F. Javier Crespo, Ernestina Menasalvas Ruiz, Víctor Robles:
Parallel Data Mining Experimentation Using Flexible Configurations. 441-448 - María S. Pérez, Ramón A. Pons, Félix García, Jesús Carretero, María L. Córdoba:
An Optimization of Apriori Algorithm through the Usage of Parallel I/O and Hints. 449-452 - Andrzej Skowron, Piotr Synak:
Patterns in Information Maps. 453-460 - Min Zhao, Jue Wang:
Discernibility Matrix Approach to Exception Analysis. 461-466 - Ning Zhong, Juzhen Dong, Yiyu Yao, Setsuo Ohsuga:
Gastric Cancer Data Mining with Ordered Information. 467-478
Web Mining
- Esther Hochsztain, Socorro Millán, Ernestina Menasalvas Ruiz:
A Granular Approach for Analyzing the Degree of Affability of a Web Site. 479-486 - Xiaohua Hu:
Comparison of Classification Methods for Customer Attrition Analysis. 487-492 - Yuefeng Li, Y. Y. Yao:
User Profile Model: A View from Artificial Intelligence. 493-496 - Oscar Marbán, Javier Segovia, Juan J. Cuadrado, César Montes:
Mining the Client's Life Cycle Behaviour in the Web. 497-505 - Y. Y. Yao, Howard J. Hamilton, Xuewei Wang:
PagePrompter: An Intelligent Web Agent Created Using Data Mining Techniques. 506-513 - Wojciech Ziarko, Xue Fei:
VPRSM Approach to WEB Searching. 514-521
Applications I
- Jan G. Bazan, Antoni Osmólski, Andrzej Skowron, Dominik Slezak, Marcin S. Szczuka, Jakub Wroblewski:
Rough Set Approach to the Survival Analysis. 522-529 - Malcolm J. Beynon:
The Identification of Low-Paying Workplaces: An Analysis Using the Variable Precision Rough Sets Model. 530-537 - Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
A Search for the Best Data Mining Method to Predict Melanoma. 538-545 - Monika P. Hippe:
Towards the Classification of Musical Works: A Rough Set Approach. 546-553 - Shoji Hirano, Shusaku Tsumoto:
Segmentation of Medical Images Based on Approximations in Rough Set Theory. 554-563 - Seok-Woo Jang, Essam A. El-Kwae, Hyung-Il Choi:
Adaptive Robust Estimation for Filtering Motion Vectors. 564-567 - Seungkoo Lee, Nicholas Propes, Guangfan Zhang, Yongsheng Zhao, George J. Vachtsevanos:
Rough Set Feature Selection and Diagnostic Rule Generation for Industrial Applications. 568-571
Applications II
- Li Chen:
lambda-Connected Approximations for Rough Sets. 572-577 - Tuan Trung Nguyen:
Adaptive Classifier Construction: An Approach to Handwritten Digit Recognition. 578-585 - Piotr Paszek, Alicja Wakulicz-Deja:
The Application of Support Diagnose in Mitochondrial Encephalomyopathies. 586-593 - James F. Peters, Tae-Chon Ahn, Maciej Borkowski:
Obstacle Classification by a Line-Crawling Robot: A Rough Neurocomputing Approach. 594-601 - Sheela Ramanna:
Rough Neural Network for Software Change Prediction. 602-609 - Divyendu Sinha, Phillip A. Laplante:
Handling Spatial Uncertainty in Binary Images: A Rough Set Based Approach. 610-620 - Tomasz G. Smolinski, Grzegorz M. Boratyn, Mariofanna G. Milanova, Jacek M. Zurada, Andrzej Wróbel:
Evolutionary Algorithms and Rough Sets-Based Hybrid Approach to Classificatory Decomposition of Cortical Evoked Potentials. 621-628 - Adam Szmigielski:
Rough Mereological Localization and Navigation. 629-638
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