Intelligent text categorization and clustering

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 (intelli...

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Bibliografski detalji
Glavni autor: Nedjah, Nadia
Daljnji autori: Mourelle, Luiza de Macedo (Voditelj izdanja), Kacprzyk, Janusz, 1947- (Voditelj izdanja), França, Felipe M.G (Voditelj izdanja), Ferreira de Souza, Alberto (Voditelj izdanja)
Format: Livre numérique
Jezik:Anglais
Izdano: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Izdanje:1st ed. 2009.
Serija:Studies in Computational Intelligence 164
Online pristup:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Bilješka: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Intelligent Text Categorization and Clustering, Texte imprimé, 9783642099298
• Intelligent Text Categorization and Clustering, Texte imprimé, 9783540856818
• Intelligent text categorization and clustering, Nadia Nedjah, Luiza de Macedo Mourelle, Janusz Kacprzyk, Felipe M. G. França, Alberto Ferreira de Souza, Berlin, Springer, 2009, 1 vol. (XIII- 117 p.)p., 3-540-85643-9
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505 1 |a Gene Selection from Microarray Data Preprocessing Techniques for Online Handwriting Recognition A Simple and Fast Term Selection Procedure for Text Clustering Bilingual Search Engine and Tutoring System Augmented with Query Expansion Comparing Clustering on Symbolic Data Exploring a Genetic Algorithm for Hypertext Documents Clustering. 
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520 |a 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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