Text Mining

Srivastava, Ashok (EDT)/ Sahami, Mehran (EDT)

Published by Taylor and Francis, 2009
ISBN 10: 1420059408 / ISBN 13: 9781420059403
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Synopsis:

The Definitive Resource on Text Mining Theory and Applications from Foremost Researchers in the Field

Giving a broad perspective of the field from numerous vantage points, Text Mining: Classification, Clustering, and Applications 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 chapters on the classification of documents into predefined categories. It presents state-of-the-art algorithms and their use in practice. The next chapters describe novel methods for clustering documents into groups that are not predefined. These methods seek to automatically determine topical structures that may exist in a document corpus. The book concludes by discussing various text mining applications that have significant implications for future research and industrial use.

There is no doubt that text mining will continue to play a critical role in the development of future information systems and advances in research will be instrumental to their success. This book captures the technical depth and immense practical potential of text mining, guiding readers to a sound appreciation of this burgeoning field.

About the Author:

Ashok N. Srivastava is the Principal Investigator of the Integrated Vehicle Health Management research project in the NASA Aeronautics Research Mission Directorate. Dr. Srivastava also leads the Intelligent Data Understanding group at NASA Ames Research Center.

Mehran Sahami is an Associate Professor and Associate Chair for Education in the computer science department at Stanford University.

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Bibliographic Details

Title: Text Mining
Publisher: Taylor and Francis
Publication Date: 2009
Binding: HRD
Book Condition: New

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Ashok N. Srivastava, Mehran Sahami
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