Intelligent Text Categorization and Clustering

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Nedjah, Nadia (Επιμελητής έκδοσης), Macedo Mourelle, Luiza de (Επιμελητής έκδοσης), Kacprzyk, Janusz (Επιμελητής έκδοσης), França, Felipe M. G. (Επιμελητής έκδοσης), De Souza, Alberto Ferreira de (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Σειρά: Studies in Computational Intelligence, 164
• Θέματα: Engineering.; Artificial intelligence.; Text processing (Computer science).; Computational linguistics.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Computational Linguistics.; Document Preparation and Text Processing.; Language Translation and Linguistics.

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...

Πίνακας περιεχομένων:

• 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.