978-1-4200-5940-3
Text Mining 'Classification, Clustering, and Applications'
Edited by Ashok Srivastava and Mehran Sahami
Editorial: Chapman and Hall / CRC Fecha de publicación: 23/06/2009 Páginas: 328Formato: Hardback 235 x 156 mm
Giving a broad perspective of the field from numerous vantage points, Text Mining focuses on statistical methods for text mining and analysis. It examines methods to automatically cluster and classify text documents and applies these methods in a variety of areas, including adaptive information filtering, information distillation, and text search. The book begins with the classification of documents into predefined categories and then describes novel methods for clustering documents into groups that are not predefined. It concludes with various text mining applications that have significant implications for future research and industrial use.
• Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Data Preparation & Mining
Machine Learning
Reference
Professional