Overview
- Presentation of recent fusion techniques for data mining
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 123)
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Table of contents (12 chapters)
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Front Matter
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Trends in Information fusion in Data Mining
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Aggregation Operators: Methods and Properties
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Front Matter
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Model Building
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Front Matter
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Information Extraction
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Front Matter
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Back Matter
Keywords
About this book
Information fusion is becoming a major requirement in data mining and knowledge discovery in databases. This book presents some recent fusion techniques that are currently in use in data mining, as well as data mining applications that use information fusion. Special focus of the book is on information fusion in preprocessing, model building and information extraction with various applications.
Editors and Affiliations
Bibliographic Information
Book Title: Information Fusion in Data Mining
Editors: Vicenç Torra
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-540-36519-8
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2003
Hardcover ISBN: 978-3-540-00676-3Published: 10 April 2003
Softcover ISBN: 978-3-642-05628-4Published: 21 October 2010
eBook ISBN: 978-3-540-36519-8Published: 05 June 2013
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: X, 234
Topics: Mathematical and Computational Engineering, Information Systems and Communication Service, Simulation and Modeling, Information and Communication, Circuits, Operations Research/Decision Theory