简介
The two volume set LNAI 3641 and LNAI 3642 constitutes the refereed proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, held in Regina, Canada in August/September 2005. The 119 revised full papers presented were carefully reviewed and selected from a total of 277 submissions. They comprise the two volumes together with 6 invited papers, 22 approved workshop papers, and 5 special section papers that all were carefully selected and thoroughly revised. The first volume includes 75 contributions related to rough set approximations, rough-algebraic foundations, feature selection and reduction, reasoning in information systems, rough-probabilistic approaches, rough-fuzzy hybridization, fuzzy methods in data analysis, evolutionary computing, machine learning, approximate and uncertain reasoning, probabilistic network models, spatial and temporal reasoning, non-standard logics, and granular computing. The second volume contains 77 contributions and deals with rough set software, data mining, hybrid and hierarchical methods, information retrieval, image recognition and processing, multimedia applications, medical applications, web content analysis, business and industrial applications, the approved workshop papers and the papers accepted for a special session on intelligent and sapient systems.
目录
Front Matter
Pages -
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Invited Papers
Book Chapter
Pages 1-11
Generalizing Rough Set Theory Through Dominance-Based Rough Set Approach
Book Chapter
Pages 12-22
Approximate Boolean Reasoning Approach to Rough Sets and Data Mining
Book Chapter
Pages 23-28
Towards Human-Level Web Intelligence
Book Chapter
Pages 29-38
Credibility Coefficients in ARES Rough Set Exploration System
Book Chapter
Pages 39-47
DIXER 鈥?Distributed Executor for Rough Set Exploration System
Book Chapter
Pages 48-58
${\mathcal R}o{\mathcal S}y$: A Rough Knowledge Base System
Book Chapter
Pages 59-68
A Classification Model: Syntax and Semantics for Classification
Book Chapter
Pages 69-78
鈥淩ule + Exception鈥?Strategies for Knowledge Management and Discovery
Book Chapter
Pages 79-87
Outlier Detection Using Rough Set Theory
Book Chapter
Pages 88-97
Reverse Prediction
Book Chapter
Pages 98-108
Prediction Mining 鈥?An Approach to Mining Association Rules for Prediction
Book Chapter
Pages 109-118
A Rough Set Based Model to Rank the Importance of Association Rules
Book Chapter
Pages 119-127
A Hierarchical Approach to Multimodal Classification
Book Chapter
Pages 128-137
Rough Learning Vector Quantization Case Generation for CBR Classifiers
Book Chapter
Pages 138-146
ML-CIDIM: Multiple Layers of Multiple Classifier Systems Based on CIDIM
Book Chapter
Pages 147-156
Constructing Rough Decision Forests
Book Chapter
Pages 157-165
Attribute Reduction in Concept Lattice Based on Discernibility Matrix
Book Chapter
Pages 166-173
Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers
Book Chapter
Pages 174-183
A Possibilistic Approach to RBFN Centers Initialization
Book Chapter
Pages 184-192
Intelligent Information Retrieval Based on the Variable Precision Rough Set Model and Fuzzy Sets Ming He,
Bo-qin Feng…show all 2hide Look Inside Get AccesspreviousPage
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