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Study Text Mining: Classification, Clustering, and Applications

Posted on 2010-03-16




Name:Study Text Mining: Classification, Clustering, and Applications
ASIN/ISBN:1420059408
Language:English
File size:3.6 Mb
Publish Date: 2009-06-15
ISBN: 1420059408
Pages: 328 pages
File Type: PDF
File Size: 3,6 MB
Other Info: Chapman & Hall/CRC
   Study Text Mining: Classification, Clustering, and Applications

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Ashok Srivastava, Mehran Sahami, "Text Mining: Classification, Clustering, and Applications"

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.

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