Transactions on Rough Sets XIII

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Title Statements

Full title :Transactions on Rough Sets XIII / edited by James F. Peters, Andrzej Skowron, Chien-Chung Chan, Jerzy W. Grzymala-Busse, Wojciech P. Ziarko.

Summary

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. Volume XIII contains 14 papers which introduce a number of new advances in both the foundations and the applications of rough sets. These are mathematical structures of generalized rough sets in infinite universes, approximations of arbitrary binary relations, and attribute reduction in decision-theoretic rough sets. Methodological advances introduce rough set-based and hybrid methodologies for learning theory, attribution reduction, decision analysis, risk assessment, and data mining tasks such as classification and clustering. In addition, this volume contains regular articles on mining temporal software metrics data, C-GAME discretization method, perceptual tolerance intersection as an example of a near set operation and compression of spatial data with quadtree structures.

Edition Statements

Publication Date:©2011.

Publication Statements

Publisher(s):Springer
Place of Publication:Berlin
Language:eng
Publication Date:©2011.

The Physical Object

Description:1 online resource (viii, 275 pages) : : illustrations

Edition Identifiers

ISBN:9783642183027, 3642183026, 9783642183034, 3642183034
DOI:10.1007/978-3-642-18302-7
oclc:ocn703211665
LC Classification:QA248
Dewey Decimal:511.3/22

Subjects

Actes de congrès artificial intelligence Artificial intelligence -- Congresses Conference papers and proceedings Congress Ensembles approximatifs -- Congrès -- I… Informatique Intelligence artificielle -- Congrès Rough sets -- Congresses -- Data proces…