Overview
- special issue on rough sets and current trends in computing
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6499)
Part of the book sub series: Transactions on Rough Sets (TRS)
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About this book
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.
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Table of contents (14 papers)
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Front Matter
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Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: Transactions on Rough Sets XIII
Editors: James F. Peters, Andrzej Skowron, Chien-Chung Chan, Jerzy W. Grzymala-Busse, Wojciech P. Ziarko
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-18302-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Berlin Heidelberg 2011
Softcover ISBN: 978-3-642-18301-0Published: 14 January 2011
eBook ISBN: 978-3-642-18302-7Published: 28 January 2011
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VIII, 277
Number of Illustrations: 30 b/w illustrations, 32 illustrations in colour
Topics: Artificial Intelligence, Database Management, Information Storage and Retrieval, Data Mining and Knowledge Discovery, Image Processing and Computer Vision, Discrete Mathematics in Computer Science