Foundations and Advances in Data Mining
. Ed(S): Chu, Wesley W.; Lin, Tsau Young
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Description for Foundations and Advances in Data Mining
Hardback. Presents a theoretical foundation as well as important directions for data-mining research. This volume brings together a set of data mining theoreticians and researchers with practical data mining experiences. It gives data mining practitioners a scientific perspective in data mining and provides insight into their problems. Editor(s): Chu, Wesley W.; Lin, Tsau Young. Series: Studies in Fuzziness and Soft Computing. Num Pages: 342 pages, 30 black & white tables, biography. BIC Classification: UY. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 20. Weight in Grams: 672.
With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. It brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences. The presented ... Read more
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Format
Hardback
Publication date
2005
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
342
Condition
New
Series
Studies in Fuzziness and Soft Computing
Number of Pages
342
Place of Publication
Berlin, Germany
ISBN
9783540250579
SKU
V9783540250579
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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