| Description |
1 online resource (188 pages) : illustrations |
| Series |
Lecture notes in computer science, 0302-9743 ; 5946 |
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Lecture notes in computer science ; 5946.
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| Contents |
Mining numerical data : a rough set approach / Jerzy W. Grzymala-Busse -- Definability and other properties of approximations for generalized indiscernibility relations / Jerzy W. Grzymala-Busse and Wojciech Rza̧sa -- Variable consistency bagging ensembles / Jerzy Błaszezyński, Roman Słowiński, and Jerzy Stefanowski -- Classical and dominance-based rough sets in the search for genes under balancing selection / Krzysztof A. Cyran -- Satisfiability judgment under incomplete information / Anna Gomolińska -- Irreducible descriptive sets of attributes for information systems / Mikhail Moshkov, Andrzej Skowron, and Zbigniew Suraj -- Computational theory perception (CTP), rough-fuzzy uncertainty analysis and mining in bioinformatics and web intelligence : a unified framework / Sankar K. Pal -- Decision rule-based data models using TRS and NetTRS : methods and algorithms / Marek Sikora -- A distributed decision rules calculation using apriori algorithm / Tomasz Stra̧kowski and Henryk Rybiński -- Decision table reduction in KDD : fuzzy rough based approach / Eric Tsang and Suyun Zhao |
| 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. The 10 articles contained in this volume introduce a number of advances in the foundations and applications of rough sets. The topics covered include calculus of attribute-value pairs useful in mining numerical data; definability and coalescence of approximations; a variable consistency generalization approach to bagging, controlled by measures of consistency;the use of classical and dominance-based rough sets in the search for genes; judgement about satisfiability with incomplete information; irreducible descriptive sets of attributes for information systems useful in the design of concurrent data models; computational theory of perceptions (CTP) and its characteristics and relation with fuzzy-granulation; methods and algorithms of Net-processing; and decision table reduction methods based on fuzzy rough sets |
| Analysis |
Set Theory |
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Mathematics |
| Bibliography |
Includes bibliographical references and index |
| Notes |
English |
| Subject |
Rough sets.
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Artificial intelligence.
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Image processing.
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Electronic Data Processing
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Computers
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Artificial Intelligence
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computers.
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artificial intelligence.
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image processing.
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Informatique.
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Rough sets
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| Form |
Electronic book
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| Author |
Peters, James F.
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Skowron, Andrzej.
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| ISBN |
9783642114793 |
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3642114792 |
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3642114784 |
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9783642114786 |
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1280385510 |
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9781280385513 |
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9786613563439 |
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6613563439 |
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