Information Fusion in Data Mining

• Main Author: Torra, Prof. Vicenç (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
• Edition: 1st ed. 2003.
• Series: Studies in Fuzziness and Soft Computing, 123
• Subjects: Applied mathematics.; Engineering mathematics.; Computers.; Computer simulation.; Information theory.; Operations research.; Decision making.; Mathematical and Computational Engineering.; Information Systems and Communication Service.; Simulation and Modeling.; Information and Communication, Circuits.; Operations Research/Decision Theory.
• Physical Description: X, 234 p. online resource.
• ISBN: 9783540365198
• ISSN: 1434-9922 ;
• DOI: 10.1007/978-3-540-36519-8

Information fusion is becoming a major need 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.