Studies in Computational Intelligence

By: Felipe M. G. FranÃ§a (Editor), Alberto Ferreira de Souza (Editor)

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Hardcover | 1 October 2008

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Hardcover
136 Pages

Dimensions(cm)
23.5 x 15.88 x 1.27

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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.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Natural Language & Machine Translation Language & Linguistics Linguistics Computational Linguistics Engineering & Technology Electronics & Communications Engineering Electronics Engineering Technology in General

Maths for Engineers Mathematics Applied Mathematics Audio Processing

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Paperback

Published: 28th October 2010

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Gene Selection from Microarray Data	p. 1
Preprocessing Techniques for Online Handwriting Recognition	p. 25
A Simple and Fast Term Selection Procedure for Text Clustering	p. 47
Bilingual Search Engine and Tutoring System Augmented with Query Expansion	p. 65
Comparing Clustering on Symbolic Data	p. 81
Exploring a Genetic Algorithm for Hypertext Documents Clustering	p. 95
Author Index	p. 119
Table of Contents provided by Ingram. All Rights Reserved.

Studies in Computational Intelligence

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

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