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Bibliographic Details
Main Author: Nedjah, Nadia 196X- (Author)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2009
Series:Studies in Computational Intelligence 164
Subjects:
Links:https://doi.org/10.1007/978-3-540-85644-3
https://doi.org/10.1007/978-3-540-85644-3
https://doi.org/10.1007/978-3-540-85644-3
https://doi.org/10.1007/978-3-540-85644-3
Item Description: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
Physical Description:1 Online-Ressource
ISBN:9783540856443
DOI:10.1007/978-3-540-85644-3