3. RSCTC 2002:
Malvern,
PA,
USA
James J. Alpigini, James F. Peters, Jacek Skowronek, Ning Zhong (Eds.):
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 BibTeX
@proceedings{DBLP:conf/rsctc/2002,
editor = {James J. Alpigini and
James F. Peters and
Jacek Skowronek and
Ning Zhong},
title = {Rough Sets and Current Trends in Computing, Third International
Conference, RSCTC 2002, Malvern, PA, USA, October 14-16, 2002,
Proceedings},
booktitle = {Rough Sets and Current Trends in Computing},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {2475},
year = {2002},
isbn = {3-540-44274-X},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Keynote Papers
Plenary Papers
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
Electronic Edition (Springer LINK) BibTeX
- Gianpiero Cattaneo, Davide Ciucci:
A Quantitative Analysis of Preclusivity vs. Similarity Based Rough Approximations.
69-76
Electronic Edition (Springer LINK) BibTeX
- Gianpiero Cattaneo, Davide Ciucci:
Heyting Wajsberg Algebras as an Abstract Environment Linking Fuzzy and Rough Sets.
77-84
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- Salvatore Greco, Masahiro Inuiguchi, Roman Slowinski:
Dominance-Based Rough Set Approach Using Possibility and Necessity Measures.
85-92
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- Salvatore Greco, Zdzislaw Pawlak, Roman Slowinski:
Generalized Decision Algorithms, Rough Inference Rules, and Flow Graphs.
93-104
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- Masahiro Inuiguchi, Tetsuzo Tanino:
Generalized Rough Sets and Rule Extraction.
105-112
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- Ryszard Janicki:
Towards a Mereological System for Direct Products and Relations.
113-122
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- Jouni Järvinen:
On the Structure of Rough Approximations.
123-130
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- Radoslaw Katarzyniak, Ngoc Thanh Nguyen:
Modification of Weights of Conflict Profile's Elements and Dependencies of Attributes in Consensus Model.
131-138
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- Qing Liu, S. L. Jiang:
Reasoning about Information Granules Based on Rough Logic.
139-143
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Foundations and Methods II
- Herman Midelfart, Henryk Jan Komorowski:
A Rough Set Framework for Learning in a Directed Acyclic Graph.
144-155
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- Mikhail Moshkov:
On Compressible Information Systems.
156-160
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- Michinori Nakata, Tetsuya Murai:
Functional Dependencies in Relational Expressions Based on Or-Sets.
161-166
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- Lech Polkowski:
On Asymptotic Properties of Rough-Set-Theoretic Approximations. Fractal Dimension, Exact Sets, and Rough Inclusion in Potentially Infinite Information Systems.
167-174
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- Jacek Pomykala:
About Tolerance and Similarity Relations in Information Systems.
175-182
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- Frederick V. Ramsey, James J. Alpigini:
Rough Sets, Guarded Command Language, and Decision Rules.
183-188
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- Zbigniew W. Ras, Agnieszka Dardzinska:
Collaborative Query Processing in DKS Controlled by Reducts.
189-196
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- Wojciech Rzasa, Zbigniew Suraj:
A New Method for Determining of Extensions and Restrictions of Information Systems.
197-204
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- Aida Vitória, Jan Maluszynski:
A Logic Programming Framework for Rough Sets.
205-212
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- G. Y. Wang:
Attribute Core of Decision Table.
213-217
Electronic Edition (Springer LINK) BibTeX
Foundations and Methods III
- Maciej Borkowski:
Signal Analysis Using Rough Integrals.
218-225
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- 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
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- Hércules Antonio 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
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- Vincent Dubois, Mohamed Quafafou:
Concept Learning with Approximation: Rough Version Spaces.
239-246
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- Silvio Giove, Salvatore Greco, Benedetto Matarazzo, Roman Slowinski:
Variable Consistency Monotonic Decision Trees.
247-254
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- Salvatore Greco, Benedetto Matarazzo, Roman Slowinski, Jerzy Stefanowski:
Importance and Interaction of Conditions in Decision Rules.
255-262
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- Pawan Lingras, Y. Y. Yao:
Time Complexity of Rough Clustering: GAs versus K-Means.
263-270
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- Jerzy Stefanowski, Alexis Tsoukiàs:
Induction of Decision Rules and Classification in the Valued Tolerance Approach.
271-278
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- Julio J. Valdés, Gabriel Mateescu:
Time Series Model Mining with Similarity-Based Neuro-Fuzzy Networks and Genetic Algorithms: A Parallel Implementation.
279-288
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Granular and Neuro Computing
Probabilistic Reasoning
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
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- Grzegorz Góra, Arkadiusz Wojna:
Local Attribute Value Grouping for Lazy Rule Induction.
405-412
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- Rafal Latkowski:
Incomplete Data Decomposition for Classification.
413-420
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- Juan Francisco Martínez Sarrías, Anita Wasilewska, Michael Hadjimichael, Covadonga Fernández, Ernestina Menasalvas Ruiz:
Extension of Relational Management Systems with Data Mining Capabilities.
421-424
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- Michal Mikolajczyk:
Reducing Number of Decision Rules by Joining.
425-432
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- Hung Son Nguyen:
Scalable Classification Method Based on Rough Sets.
433-440
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- José M. Peña Sánchez, F. Javier Crespo, Ernestina Menasalvas Ruiz, Víctor Robles:
Parallel Data Mining Experimentation Using Flexible Configurations.
441-448
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- 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
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- Andrzej Skowron, Piotr Synak:
Patterns in Information Maps.
453-460
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- Min Zhao, Jue Wang:
Discernibility Matrix Approach to Exception Analysis.
461-466
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- Ning Zhong, Juzhen Dong, Yiyu Yao, Setsuo Ohsuga:
Gastric Cancer Data Mining with Ordered Information.
467-478
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Web Mining
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
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- Malcolm J. Beynon:
The Identification of Low-Paying Workplaces: An Analysis Using the Variable Precision Rough Sets Model.
530-537
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- Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
A Search for the Best Data Mining Method to Predict Melanoma.
538-545
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- Monika P. Hippe:
Towards the Classification of Musical Works: A Rough Set Approach.
546-553
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- Shoji Hirano, Shusaku Tsumoto:
Segmentation of Medical Images Based on Approximations in Rough Set Theory.
554-563
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- Seok-Woo Jang, Essam A. El-Kwae, Hyung-Il Choi:
Adaptive Robust Estimation for Filtering Motion Vectors.
564-567
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- Seungkoo Lee, Nicholas Propes, Guangfan Zhang, Yongsheng Zhao, George J. Vachtsevanos:
Rough Set Feature Selection and Diagnostic Rule Generation for Industrial Applications.
568-571
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Applications II
Copyright © Sat May 16 23:36:02 2009
by Michael Ley (ley@uni-trier.de)
