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Foundations and Novel Approaches in Data Mining (Paperback, Softcover reprint of hardcover 1st ed. 2006) Loot Price: R4,514
Discovery Miles 45 140
Foundations and Novel Approaches in Data Mining (Paperback, Softcover reprint of hardcover 1st ed. 2006): Tsau Young Lin,...

Foundations and Novel Approaches in Data Mining (Paperback, Softcover reprint of hardcover 1st ed. 2006)

Tsau Young Lin, Setsuo Ohsuga, Churn-Jung Liau, Xiaohua Hu

Series: Studies in Computational Intelligence, 9

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Loot Price R4,514 Discovery Miles 45 140 | Repayment Terms: R423 pm x 12*

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Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the practical issues of data-mining for real-world problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research. A set of well respected data mining theoreticians were invited to present their views on the fundamental science of data mining. We have also called on researchers with practical data mining experiences to present new important data-mining topics.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Computational Intelligence, 9
Release date: November 2010
First published: 2006
Editors: Tsau Young Lin • Setsuo Ohsuga • Churn-Jung Liau • Xiaohua Hu
Dimensions: 235 x 155 x 20mm (L x W x T)
Format: Paperback
Pages: 378
Edition: Softcover reprint of hardcover 1st ed. 2006
ISBN-13: 978-3-642-06650-4
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-642-06650-X
Barcode: 9783642066504

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