Survey of Text Mining: Clustering, Classification, and Retrieval
Author:   Michael W. Berry
Publisher:   Springer-Verlag New York Inc.
Edition:   2004 ed.
ISBN:  

9780387955636


Pages:   244
Publication Date:   09 September 2003
Format:   Hardback
Availability:   In Print   Availability explained
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Survey of Text Mining: Clustering, Classification, and Retrieval


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Author:   Michael W. Berry
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2004 ed.
Dimensions:   Width: 15.50cm , Height: 1.50cm , Length: 23.50cm
Weight:   0.576kg
ISBN:  

9780387955636


ISBN 10:   0387955631
Pages:   244
Publication Date:   09 September 2003
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

I Clustering and Classification.- 1 Cluster-Preserving Dimension Reduction Methods for Efficient Classification of Text Data.- 2 Automatic Discovery of Similar Words.- 3 Simultaneous Clustering and Dynamic Keyword Weighting for Text Documents.- 4 Feature Selection and Document Clustering.- II Information Extraction and Retrieval.- 5 Vector Space Models for Search and Cluster Mining.- 6 HotMiner: Discovering Hot Topics from Dirty Text.- 7 Combining Families of Information Retrieval Algorithms Using Metalearning.- III Trend Detection.- 8 Trend and Behavior Detection from Web Queries.- 9 A Survey of Emerging Trend Detection in Textual Data Mining.

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