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Intelligent Text Categorization and Clustering (Paperback, Softcover reprint of hardcover 1st ed. 2009) Loot Price: R2,653
Discovery Miles 26 530
Intelligent Text Categorization and Clustering (Paperback, Softcover reprint of hardcover 1st ed. 2009): Felipe M. G. Franca,...

Intelligent Text Categorization and Clustering (Paperback, Softcover reprint of hardcover 1st ed. 2009)

Felipe M. G. Franca, Alberto Ferreira de Souza

Series: Studies in Computational Intelligence, 164

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Loot Price R2,653 Discovery Miles 26 530 | Repayment Terms: R249 pm x 12*

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Automatic Text Categorization and Clustering are becoming more and more important as the amount of text in electronic format grows and the access to it becomes more necessary and widespread. Well known applications are spam filtering and web search, but a large number of everyday uses exist (intelligent web search, data mining, law enforcement, etc.) Currently, researchers are employing many intelligent techniques for text categorization and clustering, ranging from support vector machines and neural networks to Bayesian inference and algebraic methods, such as Latent Semantic Indexing. This volume offers a wide spectrum of research work developed for intelligent text categorization and clustering. In the following, we give a brief introduction of the chapters that are included in this book.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Computational Intelligence, 164
Release date: October 2010
First published: 2009
Editors: Felipe M. G. Franca • Alberto Ferreira de Souza
Dimensions: 235 x 155 x 7mm (L x W x T)
Format: Paperback
Pages: 120
Edition: Softcover reprint of hardcover 1st ed. 2009
ISBN-13: 978-3-642-09929-8
Categories: Books > Language & Literature > Language & linguistics > Computational linguistics
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
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LSN: 3-642-09929-7
Barcode: 9783642099298

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