Graph-theoretic techniques for web content mining

Graph-theoretic techniques for web content mining / Adam Schenker [and others].

This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, such as vectors.

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Bibliographic Details
Other Authors: Schenker, Adam
Format: eBook
Language:English
Published: Singapore ; Hackensack, N.J. : World Scientific, ©2005.
Series:Series in machine perception and artificial intelligence ; v. 62.
Subjects:
Data mining.
Graph theory > Data processing.
Algorithms.
Multidimensional scaling.
Computer algorithms.
algorithms.
Computer algorithms
Algorithms
Data mining
Graph theory > Data processing
Multidimensional scaling
Online Access:Click for online access
Description
Summary:This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, such as vectors.
Item Description:Title from title screen.
Physical Description:1 online resource (249 pages)
Bibliography:Includes bibliographical references and index.
ISBN:9812563393
9789812563392
9789812569455
9812569456
1281372579
9781281372574

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