Data Mining: Foundations and Intelligent Paradigms Volume 2: Statistical, Bayesian, Time Series and other Theoretical Aspects /

Data Mining: Foundations and Intelligent Paradigms Volume 2: Statistical, Bayesian, Time Series and other Theoretical Aspects /

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. Statisti...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Holmes, Dawn E. (Editor), Jain, Lakhmi C. (Editor)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
Series:Intelligent Systems Reference Library, 24
Subjects:
Engineering.
Health informatics.
Artificial intelligence.
Computational intelligence.
Computational Intelligence.
Artificial Intelligence (incl. Robotics).
Health Informatics.
Online Access:Full Text via HEAL-Link
Description
Summary: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.
Physical Description:XIV, 250 p. online resource.
ISBN:9783642232411
ISSN:1868-4394 ;

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