Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing 粗集、模糊集、数据挖掘和粒度计算/会议录 第I部分

出版时间：2005-9  出版社：北京燕山出版社  作者：Slezak, Dominik; Wang, Guoyin; Szczuka, Marcin  页数：742  

内容概要

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.

书籍目录

Invited Papers  Rough Sets and Flow Graphs  A Modal Characterization of Indiscernibility and Similarity Relations in Pawlak's Information Systems  Granular Computing with Shadowed SetsRough Set Approximations  Rough Sets and Higher Order Vagueness  Approximation in Formal Concept Analysis  Second-Order Rough Approximations in Multi-criteria Classification with Imprecise Evaluations and Assignments  New Approach for Basic Rough Set Concepts  A Partitional View of Concept Lattice  Characterizations of Attributes in Generalized Approximation Representation SpacesRough-Algebraic Foundations  Proximity Spaces of Exact Sets  Rough Group, Rough Subgroup and Their Properties  Concept Lattices vs. Approximation Spaces  Rough Sets over the Boolean Algebras  Algebraic Approach to Generalized Rough Sets  Logic for Rough Sets with Rough Double Stone Algebraic SemanticsFeature Selection and Reduction  On Partial Tests and Partial Reducts for Decision Tables  The Second Attribute  Pairwise Cores in Information Systems  Data Preprocessing and Kappa Coefficient  Incremental Attribute Reduction Based on Elementary Sets  Finding Rough Set Reducts with SAT  Feature Selection with Adjustable Criteria  Feature Selection Based on Relative Attribute Dependency: An Experimental StudyReasoning in Information Systems  On Consistent and Partially Consistent Extensions of Information Systems  ……Rough-Probabilistic ApproachesRough-Fuzzy HybridizationFuzzy Methods in Data AnalysisEvolutionary ComputingMachine LearningApproximate and Uncertain ReasoningProbabilistic Network ModelsSpatial and Temporal ReasoningNon-standard LogicsGranular ComputingAuthor Index