Graph-theoretic techniques for web content mining /

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Bibliographic Details
Imprint:[Hackensack], N.J. ; London : World Scientific, 2005.
Description:xi, 235 p. : ill. ; 24 cm.
Language:English
Series:Series in machine perception and artificial intelligence ; v. 62
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/5789395
Hidden Bibliographic Details
Other authors / contributors:Schenker, Adam.
ISBN:9812563393
Notes:Includes bibliographical references and index.

MARC

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505 0 0 |g 1.  |t Introduction to Web mining --  |g 2.  |t Graph similarity techniques --  |g 3.  |t Graph models for Web documents --  |g 4.  |t Graph-based clustering --  |g 5.  |t Graph-based classification --  |g 6.  |t The graph hierarchy construction algorithm for Web search clustering --  |g 7.  |t Conclusions and future work. 
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