Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007

Pirmais vāks
Aijun An, Jerzy Stefanowski, Sheela Ramanna, Witold Pedrycz, Cory Butz
Springer Science & Business Media, 2007. gada 27. apr. - 585 lappuses
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.

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Saturs

Toward RoughGranular Computing
1
Data Clustering Algorithms for Information Systems
13
From Parallel Data Mining to GridEnabled Distributed Knowledge Discovery
25
A New Algorithm for Attribute Reduction in Decision Tables
37
Algebraic Properties of AdjunctionBased Fuzzy Rough Sets
47
Fuzzy Approximation Operators Based on Coverings
55
InformationTheoretic Measure of Uncertainty in Generalized Fuzzy Rough Sets
63
Determining Significance of Attributes in the Unified Rough Set Approach
71
Evaluating Importance of Conditions in the Set of Discovered Rules
314
Constraint Based Action Rule Discovery with Single Classification Rules
322
Data Confidentiality Versus Chase
330
Relationship Between Loss Functions and Confirmation Measures
338
High Frequent Value Reduct in Very Large Databases
346
A Weighted Rough Set Approach for CostSensitive Learning
355
Jumping Emerging Pattern Induction by Means of Graph Coloring and Local Reducts in Transaction Databases
363
Visualization of Rough Set Decision Rules for Medical Diagnosis Systems
371

A RoughHybrid Approach to Software Defect Classification
79
Vaguely Quantified Rough Sets
87
A Fuzzy Search Engine Weighted Approach to Result Merging for Metasearch
95
A Fuzzy Group Decision Approach to Real Option Valuation
103
Fuzzifying Closure Systems and Fuzzy Lattices
111
An Overview and New Directions
119
A New Cluster Validity Index for Fuzzy Clustering Based on Similarity Measure
127
A New Classifier Design with Fuzzy Functions
136
Image Analysis of Ductal Proliferative Lesions of Breast Using Architectural Features
144
Nucleus Segmentation and Recognition of Uterine Cervical PapSmears
153
Segmentation of Lateral Ventricles in Brain MRI Using Fuzzy CMeans Clustering with Gaussian Smoothing
161
Multiscale Extraction of Hypodense Signs
171
Supporting Literature Exploration with Granular Knowledge Structures
182
Ordinal Credibility Coefficient A New Approach in the Data Credibility Analysis
190
An Effective Passage Retrieval System for QAS
199
Parallel Artificial Immune Clustering Algorithm Based on Granular Computing
208
DensityBased Clustering with Constraints
216
A New Cluster Based Fuzzy Model Tree for Data Modeling
224
Parameter Tuning for Disjoint Clusters Based on Concept Lattices with Application to Location Learning
232
Web Document Classification Based on Rough Set
240
Transformation of Suffix Arrays into Suffix Trees on the MPI Environment
248
Clustering High Dimensional Data Using SVM
256
Constructing Associative Classifier Using Rough Sets and Evidence Theory
263
Evaluation Method for Decision Rule Sets
272
Part 2
280
Neonatal Infection Diagnosis Using Constructive Induction in Data Mining
289
Two Families of Classification Algorithms
297
Constructing Associative Classifiers from Decision Tables
305
Attribute Generalization and Fuzziness in Data Mining Contexts
379
A Hybrid Method for Forecasting Stock Market Trend Using SoftThresholding Denoise Model and SVM
387
Attribute Granules in Formal Contexts
395
An Incremental Updating Algorithm for Core Computing in DominanceBased Rough Set Model
403
A Ranking Approach with Inclusion Measure in MultipleAttribute IntervalValued Decision Making
411
Granulations Based on Semantics of Rough Logical Formulas and Its Reasoning
419
A Categorial Basis for Granular Computing
427
Granular Sets Foundations and Case Study of Tolerance Spaces
435
Unusual Activity Analysis in Video Sequences
443
TaskBased Image Annotation and Retrieval
451
Improvement of Moving Image Quality on ACPDP by Rough Set Based Dynamic False Contour Reduction
459
Image Digital Watermarking Technique Based on Kernel Independent Component Analysis
467
Image Pattern Recognition Using Near Sets
475
Robotic Target Tracking with Approximation SpaceBased Feedback During Reinforcement Learning
483
Web Based Health Recommender System Using Rough Sets Survival Analysis and RuleBased Expert Systems
491
Application to Time Series Modeling
500
Selecting Samples and Features for SVM Based on Neighborhood Model
508
Intelligent Decision Support Based on Influence Diagrams with Rough Sets
518
Object Class Recognition Using SNoW with a Part Vocabulary
526
Coverage in Biomimetic Pattern Recognition
534
A TextureBased Algorithm for Vehicle Area Segmentation Using the Support Vector Machine Method
542
The Study of Some Important Theoretical Problems for Rough Relational Database
550
Interval Rough Mereology for Approximating Hierarchical Knowledge
557
Description Logic Framework for Access Control and Security in ObjectOriented Systems
565
Rough Neural Networks for Complex Concepts
574
Author Index
583
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