6. RSCTC 2008: Akron, OH, USA

Keynote Papers

• Janusz Kacprzyk:
  Neuroeconomics: Yet Another Field Where Rough Sets Can Be Useful?. 1-12
  
• Lakhmi C. Jain, Jeffrey Tweedale:
  Research Directions in the KES Centre. 13-20
  

Logical and Mathematical Foundations

• Mikhail Moshkov, Andrzej Skowron, Zbigniew Suraj:
  On Irreducible Descriptive Sets of Attributes for Information Systems. 21-30
  
• Salvatore Greco, Benedetto Matarazzo, Roman Slowinski:
  Dominance-Based Rough Set Approach and Bipolar Abstract Rough Approximation Spaces. 31-40
  
• Jan Maluszynski, Andrzej Szalas, Aida Vitória:
  Paraconsistent Logic Programs with Four-Valued Rough Sets. 41-51
  
• Guilong Liu, James Kuodo Huang:
  An Equivalent Definition of Rough Sets. 52-60
  
• Yan Zhao, S. K. Michael Wong, Y. Y. Yao:
  A Note on Attribute Reduction in the Decision-Theoretic Rough Set Model. 61-70
  
• Wei-Zhi Wu, Ju-Sheng Mi:
  An Interpretation of Belief Functions on Infinite Universes in the Theory of Rough Sets. 71-80
  
• Ryszard Janicki:
  Some Remarks on Approximations of Arbitrary Binary Relations by Partial Orders. 81-91
  
• Bala Krushna Tripathy, Anirban Mitra, Jaladhar Ojha:
  On Rough Equalities and Rough Equivalences of Sets. 92-102
  

Data Analysis

• Shusaku Tsumoto, Shoji Hirano:
  Statistical Independence of Multi-variables from the Viewpoint of Linear Algebra. 103-112
  
• Lech Polkowski, Piotr Artiemjew:
  Rough Mereology in Classification of Data: Voting by Means of Residual Rough Inclusions. 113-120
  
• Masahiro Inuiguchi, Bingjun Li:
  Rough Set Approach to Information Tables with Imprecise Decisions. 121-130
  
• Chien-Chung Chan, Gwo-Hshiung Tzeng:
  Computing Approximations of Dominance-Based Rough Sets by Bit-Vector Encodings. 131-141
  
• Lech Polkowski, Pawel Osmialowski:
  A Framework for Multiagent Mobile Robotics: Spatial Reasoning Based on Rough Mereology in Player/Stage System. 142-149
  
• Piotr Artiemjew:
  Natural versus Granular Computing: Classifiers from Granular Structures. 150-159
  

Data Mining

• Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse:
  Inducing Better Rule Sets by Adding Missing Attribute Values. 160-169
  
• Wojciech Jaworski:
  Rule Induction: Combining Rough Set and Statistical Approaches. 170-180
  
• Zbigniew W. Ras, Agnieszka Dardzinska:
  Action Rules Discovery without Pre-existing Classification Rules. 181-190
  
• Tuan Trung Nguyen:
  Hierarchical Learning in Classification of Structured Objects. 191-201
  
• Jerzy W. Grzymala-Busse, Yiyu Yao:
  A Comparison of the LERS Classification System and Rule Management in PRSM. 202-210
  
• Andrzej Janusz:
  Similarity Relation in Classification Problems. 211-222
  
• Ivo Düntsch, Günther Gediga:
  Probabilistic Granule Analysis. 223-231
  
• Helga Gonzaga Martins, Germano Lambert-Torres, Luiz Eduardo Borges da Silva, Claudio Inácio de Almeida Costa, Maurilio Pereira Coutinho:
  Paraconsistent Case-Based Reasoning Applied to a Restoration of Electrical Power Substations. 232-241
  
• Hong Yu, Guoyin Wang, Fakuan Lan:
  Solving the Attribute Reduction Problem with Ant Colony Optimization. 242-251
  
• Shamama Anwar, K. Sridhar Patnaik:
  Actor Critic Learning: A Near Set Approach. 252-261
  
• Yang Liu, Boqin Feng, Guohua Bai:
  Compact Rule Learner on Weighted Fuzzy Approximation Spaces for Class Imbalanced and Hybrid Data. 262-271
  
• Farideh Fazayeli, Lipo Wang, Jacek Mandziuk:
  Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm. 272-282
  
• Yuming Chen, Duoqian Miao, Ruizhi Wang:
  Outlier Detection Based on Granular Computing. 283-292
  
• Hidenao Abe, Shusaku Tsumoto:
  Implementing a Rule Generation Method Based on Secondary Differences of Two Criteria. 293-298
  
• Hiroshi Sakai, Ryuji Ishibashi, Michinori Nakata:
  Lower and Upper Approximations of Rules in Non-deterministic Information Systems. 299-309
  
• Richard Jensen, Chris Cornelis:
  A New Approach to Fuzzy-Rough Nearest Neighbour Classification. 310-319
  

Decision Support Systems

• Marcin S. Szczuka:
  Towards Approximation of Risk. 320-328
  
• Yu-Ping Ou Yang, How-Ming Shieh, Gwo-Hshiung Tzeng, Leon Yen, Chien-Chung Chan:
  Business Aviation Decision-Making Using Rough Sets. 329-338
  
• Hamed O. Ghaffari, Mostafa Sharifzadeh, Witold Pedrycz:
  Phase Transition in SONFIS and SORST. 339-348
  
• Dun Liu, Tian-rui Li, Pei Hu:
  A New Rough Sets Decision Method Based on PCA and Ordinal Regression. 349-358
  
• Zofia Matusiewicz, Krzysztof Pancerz:
  Rough Set Flow Graphs and Max - * Fuzzy Relation Equations in State Prediction Problems. 359-368
  

Clustering

• Pawan Lingras, Min Chen, Duoqian Miao:
  Precision of Rough Set Clustering. 369-378
  
• Georg Peters, Richard Weber:
  A Dynamic Approach to Rough Clustering. 379-388
  
• Alka Arora, Shuchita Upadhyaya, Rajni Jain:
  Learning Patterns from Clusters Using Reduct. 389-398
  

Pattern Recognition and Image Processing

• Xuguang Chen, Wojciech Ziarko:
  Experiments with Rough Set Approach to Face Recognition. 399-408
  
• Dariusz Malyszko, Jaroslaw Stepaniuk:
  Standard and Fuzzy Rough Entropy Clustering Algorithms in Image Segmentation. 409-418
  
• Lukasz Kobylinski, Krzysztof Walczak:
  Efficient Mining of Jumping Emerging Patterns with Occurrence Counts for Classification. 419-428
  
• Marcin Jedryka, Wladyslaw Skarbek:
  Evolutionary Algorithm for Fingerprint Images Filtration. 429-437
  
• Pawel Terlecki, Krzysztof Walczak:
  Efficient Discovery of Top-K Minimal Jumping Emerging Patterns. 438-447
  
• Rory A. Lewis, Amanda Cohen, Wenxin Jiang, Zbigniew W. Ras:
  Hierarchical Tree for Dissemination of Polyphonic Noise. 448-456
  
• Yong Yang, Guoyin Wang, Fei Luo, Zhenjing Li:
  A Data Driven Emotion Recognition Method Based on Rough Set Theory. 457-464
  
• Alicja Wieczorkowska:
  Learning from Soft-Computing Methods on Abnormalities in Audio Data. 465-474
  

Bioinformatics

• Bishal Barman, Sushmita Mitra, Witold Pedrycz:
  Shadowed Clustering for Speech Data and Medical Image Segmentation. 475-484
  
• Alan J. Barton, Julio J. Valdés:
  Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers. 485-494
  
• Ana Karoline Araújo de Castro, Plácido Rogério Pinheiro, Mirian Caliope Dantas Pinheiro:
  A Hybrid Model for Aiding in Decision Making for the Neuropsychological Diagnosis of Alzheimer's Disease. 495-504
  

Special Sessions

• Dominik Slezak, Jakub Wroblewski, Victoria Eastwood, Piotr Synak:
  Rough Sets in Data Warehousing. 505-507
  
• Arvind Srinivasan, Gaurav Baone:
  Classification Challenges in Email Archiving. 508-519
  
• Tsau Young Lin:
  Approximation Theories: Granular Computing vs Rough Sets. 520-529
  

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