Data mining: foundations and intelligent paradigms : Volume 2: statistical, bayesian, time series and other theoretical aspects /

<p>Data mining is one of the most rapidly growing research areas in computer science and statistics. In Volume 2 of this three volume series, we have brought together contributions from some of the most prestigious researchers in theoretical data mining. Each of the chapters is self contained....

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Jain, Lakhmi C., Holmes, Dawn E.
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2012.
Series:Intelligent Systems Reference Library 24
Subjects:
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Summary:<p>Data mining is one of the most rapidly growing research areas in computer science and statistics. In Volume 2 of this three volume series, we have brought together contributions from some of the most prestigious researchers in theoretical data mining. Each of the chapters is self contained. Statisticians and applied scientists/ engineers will find this volume valuable. Additionally, it provides a sourcebook for graduate students interested in the current direction of research in data mining. </p>
Physical Description:1 online resource (XIV, 250 pages) 63 illustration, 35 illustration in colour, digital.
ISBN:9783642232411
ISSN:1868-4394