Graph-theoretic techniques for web content mining

Graph-theoretic techniques for web content mining

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Bibliographic Details
Corporate Author: ebrary, Inc
Other Authors: Schenker, Adam
Format: Electronic eBook
Language:English
Published: [Hackensack], N.J. ; London : World Scientific, 2005.
Series:Series in machine perception and artificial intelligence ; v. 62.
Subjects:
Data mining.
Graph theory > Data processing.
Algorithms.
Multidimensional scaling.
Electronic books.
Online Access:An electronic book accessible through the World Wide Web; click to view
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245 0 0 |a Graph-theoretic techniques for web content mining  |h [electronic resource] /  |c Adam Schenker ... [et al.]. 
260 |a [Hackensack], N.J. ;  |a London :  |b World Scientific,  |c 2005. 
300 |a xi, 235 p. :  |b ill. 
490 1 |a Series in machine perception and artificial intelligence ;  |v v. 62 
504 |a Includes bibliographical references and index. 
533 |a Electronic reproduction.  |b Palo Alto, Calif. :  |c ebrary,  |d 2009.  |n Available via World Wide Web.  |n Access may be limited to ebrary affiliated libraries. 
650 0 |a Data mining. 
650 0 |a Graph theory  |x Data processing. 
650 0 |a Algorithms. 
650 0 |a Multidimensional scaling. 
655 7 |a Electronic books.  |2 local 
700 1 |a Schenker, Adam. 
710 2 |a ebrary, Inc. 
830 0 |a Series in machine perception and artificial intelligence ;  |v v. 62. 
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