Transactions on Rough Sets XIII

Author/creator Peters, James F. Editor-In-Chief
Format Electronic
Publication InfoNew York : Springer
Descriptionviii, 277 p. ill 23.500 x 015.500 cm.
Supplemental ContentFull text available from Springer Nature - Springer Computer Science eBooks 2011 English International
Supplemental ContentFull text available from SpringerLINK Lecture Notes in Computer Science Contemporary (1997-present)
Supplemental ContentFull text available from Springer Books
Subjects

Other author/creatorSkowron, Andrzej Editor-In-Chief
Other author/creatorChan, Chien-Chung Guest Editor
Other author/creatorGrzymala-Busse, Jerzy W. Guest Editor
Other author/creatorZiarko, Wojciech P. Guest Editor
SeriesLecture Notes in Computer Science / Transactions on Rough Sets Ser.
Summary Annotation 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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Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2010942518
ISBN9783642183010
ISBN3642183018 (Trade Paper) Active Record
Standard identifier# 9783642183010
Stock number3642183018 00024965