Intelligent Text Categorization and Clustering

• Corporate Author: SpringerLink (Online service)
• Other Authors: Nedjah, Nadia. (Editor), Macedo Mourelle, Luiza. (Editor), Kacprzyk, Janusz. (Editor), Franȧ, Felipe M. G. (Editor), De Souza, Alberto Ferreira. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Studies in Computational Intelligence, 164
• Subjects: Engineering.; Artificial intelligence.; Text processing (Computer science.; Translators (Computer programs).; Computational linguistics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Computational Linguistics.; Document Preparation and Text Processing.; Language Translation and Linguistics.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-540-85644-3

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...

Table of Contents:

• 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 Tutuoring System Augmented with Quary Expansion
• Comparing Clustering on Symbolic Data
• Exploring a Genetic Algorithm for Hypertext Documents Clustering.