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Graph-theoretic Techniques For Web Content Mining

By: Usa) Schenker Adam (Univ Of South Florida (Author) , Horst (-) Bunke (Author) , Israel) Last Mark (Ben-gurion Univ Of The Negev (Author)

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Ksh 31,050.00

Format: Hardback or Cased Book

ISBN-13: 9789812563392

Publisher: World Scientific Publishing Co Pte Ltd

Publication Date: May 31st, 2005

Weight: 494 grams

Dimension: 23.30 x 15.70 x 1.90 cms

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Describes opportunities for utilizing robust graph representations of data with machine learning algorithms. The authors have selected the domain of web content mining, which involves the clustering and classification of web documents based on their textual substance.

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