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Books > Computing & IT > Applications of computing > Databases > Data mining

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Kernel Based Algorithms for Mining Huge Data Sets - Supervised, Semi-supervised, and Unsupervised Learning (Hardcover, 2006 ed.) Loot Price: R3,034

Discovery Miles 30 340

Repayment Terms: R284 pm x 12*

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Kernel Based Algorithms for Mining Huge Data Sets - Supervised, Semi-supervised, and Unsupervised Learning (Hardcover, 2006...

Kernel Based Algorithms for Mining Huge Data Sets - Supervised, Semi-supervised, and Unsupervised Learning (Hardcover, 2006 ed.)

Te-Ming Huang, Vojislav Kecman, Ivica Kopriva

Series: Studies in Computational Intelligence, 17

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Loot Price R3,034 Discovery Miles 30 340 | Repayment Terms: R284 pm x 12*

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This is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction and shows the similarities and differences between the two most popular unsupervised techniques.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Computational Intelligence, 17
Release date:	March 2006
First published:	2006
Authors:	Te-Ming Huang • Vojislav Kecman • Ivica Kopriva
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Hardcover
Pages:	260
Edition:	2006 ed.
ISBN-13:	978-3-540-31681-7
Categories:	Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	3-540-31681-7
Barcode:	9783540316817