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Data Mining: Foundations and Intelligent Paradigms: VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects: 24 2012th Edition
Author(s): Dawn E. Holmes (Editor), Lakhmi C Jain
- Publisher: Springer
- Publication Date: 7 Nov. 2011
- Edition: 2012th
- Language: English
- Print length: 264 pages
- ISBN-10: 364223240X
- ISBN-13: 9783642232404
Book Description
There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 2: Core Topics including Statistical, Time-Series and Bayesian Analysis” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.
Editorial Reviews
From the Back Cover
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.
