Graph-theoretic techniques for web content mining

Graph-theoretic techniques for web content mining / Adam Schenker ... [et al.].

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Bibliographic Details
Superior document:Series in machine perception and artificial intelligence ; v. 62
:
ProQuest (Firm)
TeilnehmendeR:
Schenker, Adam.
ProQuest (Firm)
Year of Publication:2005
Language:English
Series:Series in machine perception and artificial intelligence ; v. 62.
Online Access:
Physical Description:xi, 235 p. :; ill.
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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. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest 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 4 |a Electronic books. 
700 1 |a Schenker, Adam. 
710 2 |a ProQuest (Firm) 
830 0 |a Series in machine perception and artificial intelligence ;  |v v. 62. 
856 4 0 |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=259288  |z Click to View 

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