Rough Sets, Fuzzy Sets, Data Mining and Granular Computing : 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007. Proceedings. Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory J. Butz, Wit

This volume contains the papers selected for presentation at the 11th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2007), a part of the Joint Rough Set Symposium (JRS 2007) organized by Infobright Inc. and York University. JRS 2007 was held for the ?rst time during May 14–16, 2007 in MaRS Discovery District, Toronto, Canada. It consisted of two conferences: RSFDGrC 2007 and the Second Int- national Conference on Rough Sets and Knowledge Technology (RSKT 2007). The two conferences that constituted JRS 2007 investigated rough sets as an emerging methodology established more than 25 years ago by Zdzis law Pawlak. Roughsettheoryhasbecomeanintegralpartofdiversehybridresearchstreams. In keeping with this trend, JRS 2007 encompassed rough and fuzzy sets, kno- edgetechnologyanddiscovery,softandgranularcomputing,dataprocessingand mining, while maintaining an emphasis on foundations and applications. RSFDGrC 2007 followed in the footsteps of well-established international initiatives devoted to the dissemination of rough sets research, held so far in Canada, China, Japan, Poland, Sweden, and the USA. RSFDGrC was ?rst - ganized as the 7th International Workshop on Rough Sets, Data Mining and Granular Computing held in Yamaguchi, Japan in 1999. Its key feature was to stress the role of integrating intelligent information methods to solve real-world, large, complex problems concerned with uncertainty and fuzziness. RSFDGrC achieved the status of a bi-annual international conference, starting from 2003 in Chongqing, China. Front Matter....Pages - Toward Rough-Granular Computing....Pages 1-12 Data Clustering Algorithms for Information Systems....Pages 13-24 From Parallel Data Mining to Grid-Enabled Distributed Knowledge Discovery....Pages 25-36 A New Algorithm for Attribute Reduction in Decision Tables....Pages 37-46 Algebraic Properties of Adjunction-Based Fuzzy Rough Sets....Pages 47-54 Fuzzy Approximation Operators Based on Coverings....Pages 55-62 Information-Theoretic Measure of Uncertainty in Generalized Fuzzy Rough Sets....Pages 63-70 Determining Significance of Attributes in the Unified Rough Set Approach....Pages 71-78 A Rough-Hybrid Approach to Software Defect Classification....Pages 79-86 Vaguely Quantified Rough Sets....Pages 87-94 A Fuzzy Search Engine Weighted Approach to Result Merging for Metasearch....Pages 95-102 A Fuzzy Group Decision Approach to Real Option Valuation....Pages 103-110 Fuzzifying Closure Systems and Fuzzy Lattices....Pages 111-118 Evolution of Fuzzy System Models: An Overview and New Directions....Pages 119-126 Retracted Article: A New Cluster Validity Index for Fuzzy Clustering Based on Similarity Measure....Pages 127-135 A New Classifier Design with Fuzzy Functions....Pages 136-143 Image Analysis of Ductal Proliferative Lesions of Breast Using Architectural Features....Pages 144-152 Nucleus Segmentation and Recognition of Uterine Cervical Pap-Smears....Pages 153-160 A Study: Segmentation of Lateral Ventricles in Brain MRI Using Fuzzy C-Means Clustering with Gaussian Smoothing....Pages 161-170 Ischemic Stroke Modeling: Multiscale Extraction of Hypodense Signs....Pages 171-181 Supporting Literature Exploration with Granular Knowledge Structures....Pages 182-189 Ordinal Credibility Coefficient – A New Approach in the Data Credibility Analysis....Pages 190-198 F uzzyPR: An Effective Passage Retrieval System for QAS....Pages 199-207 Parallel Artificial Immune Clustering Algorithm Based on Granular Computing....Pages 208-215 C-DBSCAN: Density-Based Clustering with Constraints....Pages 216-223 A New Cluster Based Fuzzy Model Tree for Data Modeling....Pages 224-231 Parameter Tuning for Disjoint Clusters Based on Concept Lattices with Application to Location Learning....Pages 232-239 Web Document Classification Based on Rough Set....Pages 240-247 Transformation of Suffix Arrays into Suffix Trees on the MPI Environment....Pages 248-255 Clustering High Dimensional Data Using SVM....Pages 256-262 Constructing Associative Classifier Using Rough Sets and Evidence Theory....Pages 263-271 Evaluation Method for Decision Rule Sets....Pages 272-279 On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems: Part 2....Pages 280-288 Neonatal Infection Diagnosis Using Constructive Induction in Data Mining....Pages 289-296 Two Families of Classification Algorithms....Pages 297-304 Constructing Associative Classifiers from Decision Tables....Pages 305-313 Evaluating Importance of Conditions in the Set of Discovered Rules....Pages 314-321 Constraint Based Action Rule Discovery with Single Classification Rules....Pages 322-329 Data Confidentiality Versus Chase....Pages 330-337 Relationship Between Loss Functions and Confirmation Measures....Pages 338-345 High Frequent Value Reduct in Very Large Databases....Pages 346-354 A Weighted Rough Set Approach for Cost-Sensitive Learning....Pages 355-362 Jumping Emerging Pattern Induction by Means of Graph Coloring and Local Reducts in Transaction Databases....Pages 363-370 Visualization of Rough Set Decision Rules for Medical Diagnosis Systems....Pages 371-378 Attribute Generalization and Fuzziness in Data Mining Contexts....Pages 379-386 A Hybrid Method for Forecasting Stock Market Trend Using Soft-Thresholding De-noise Model and SVM....Pages 387-394 Attribute Granules in Formal Contexts....Pages 395-402 An Incremental Updating Algorithm for Core Computing in Dominance-Based Rough Set Model....Pages 403-410 A Ranking Approach with Inclusion Measure in Multiple-Attribute Interval-Valued Decision Making....Pages 411-418 Granulations Based on Semantics of Rough Logical Formulas and Its Reasoning....Pages 419-426 A Categorial Basis for Granular Computing....Pages 427-434 Granular Sets – Foundations and Case Study of Tolerance Spaces....Pages 435-442 Unusual Activity Analysis in Video Sequences....Pages 443-450 Task-Based Image Annotation and Retrieval....Pages 451-458 Improvement of Moving Image Quality on AC-PDP by Rough Set Based Dynamic False Contour Reduction....Pages 459-466 Image Digital Watermarking Technique Based on Kernel Independent Component Analysis....Pages 467-474 Image Pattern Recognition Using Near Sets....Pages 475-482 Robotic Target Tracking with Approximation Space-Based Feedback During Reinforcement Learning....Pages 483-490 Web Based Health Recommender System Using Rough Sets, Survival Analysis and Rule-Based Expert Systems....Pages 491-499 RBF Neural Network Implementation of Fuzzy Systems: Application to Time Series Modeling....Pages 500-507 Selecting Samples and Features for SVM Based on Neighborhood Model....Pages 508-517 Intelligent Decision Support Based on Influence Diagrams with Rough Sets....Pages 518-525 Object Class Recognition Using SNoW with a Part Vocabulary....Pages 526-533 Coverage in Biomimetic Pattern Recognition....Pages 534-541 A Texture-Based Algorithm for Vehicle Area Segmentation Using the Support Vector Machine Method....Pages 542-549 The Study of Some Important Theoretical Problems for Rough Relational Database....Pages 550-556 Interval Rough Mereology for Approximating Hierarchical Knowledge....Pages 557-564 Description Logic Framework for Access Control and Security in Object-Oriented Systems....Pages 565-573 Rough Neural Networks for Complex Concepts....Pages 574-582 Back Matter....Pages - This volume contains the papers selected for presentation at the 11th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2007), a part of the Joint Rough Set Symposium (JRS 2007) organized by Infobright Inc. and York University. JRS 2007 was held for the?rst time during May 14-16, 2007 in MaRS Discovery District, Toronto, Canada. It consisted of two conferences: RSFDGrC 2007 and the Second Int- national Conference on Rough Sets and Knowledge Technology (RSKT 2007). The two conferences that constituted JRS 2007 investigated rough sets as an emerging methodology established more than 25 years ago by Zdzis law Pawlak. Roughsettheoryhasbecomeanintegralpartofdiversehybridresearchstreams. In keeping with this trend, JRS 2007 encompassed rough and fuzzy sets, kno- edgetechnologyanddiscovery, softandgranularcomputing, dataprocessingand mining, while maintaining an emphasis on foundations and applications. RSFDGrC 2007 followed in the footsteps of well-established international initiatives devoted to the dissemination of rough sets research, held so far in Canada, China, Japan, Poland, Sweden, and the USA. RSFDGrC was?rst - ganized as the 7th International Workshop on Rough Sets, Data Mining and Granular Computing held in Yamaguchi, Japan in 1999. Its key feature was to stress the role of integrating intelligent information methods to solve real-world, large, complex problems concerned with uncertainty and fuzziness. RSFDGrC achieved the status of a bi-annual international conference, starting from 2003 in Chongqing, China

This book constitutes the refereed proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2007, held in Toronto, Canada in May 2007 in conjunction with the Second International Conference on Rough Sets and Knowledge Technology, RSKT 2007, both as part of the Joint Rough Set Symposium, JRS 2007.

Invited papers Fuzzy-rough hybridization Fuzzy sets Soft computing in medical image procesing Soft computing in information retrieval Clustering Text and Web mining Learning, data mining and rough classifiers Granular computing Soft computing in multimedia processing Soft computing applications Rough and complex concepts.