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Mining the Web: Discovering Knowledge from Hypertext Data
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Mining the Web: Discovering Knowledge from Hypertext Data Hardcover - 2002

by Soumen Chakrabarti

This is one of the first books devoted to issues and solutions related to hypertext data, and to developing the systems that will allow for easier information access of Web based information.


From the publisher

Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the vast body of unstructured Web data. Building on an initial survey of infrastructural issues--including Web crawling and indexing--Chakrabarti examines low-level machine learning techniques as they relate specifically to the challenges of Web mining. He then devotes the final part of the book to applications that unite infrastructure and analysis to bring machine learning to bear on systematically acquired and stored data. Here the focus is on results: the strengths and weaknesses of these applications, along with their potential as foundations for further progress. From Chakrabarti's work--painstaking, critical, and forward-looking--readers will gain the theoretical and practical understanding they need to contribute to the Web mining effort.

First line

The World Wide Web is the largest and most widely known repository of hypertext.

Details

  • Title Mining the Web: Discovering Knowledge from Hypertext Data
  • Author Soumen Chakrabarti
  • Binding Hardcover
  • Edition INTERNATIONAL ED
  • Pages 368
  • Volumes 1
  • Language ENG
  • Publisher Morgan Kaufmann Publishers, San Francisco, CA
  • Date August 15, 2002
  • ISBN 9781558607545 / 1558607544
  • Weight 1.66 lbs (0.75 kg)
  • Dimensions 9.52 x 7.54 x 1.04 in (24.18 x 19.15 x 2.64 cm)
  • Library of Congress subjects Data mining, Hypertext systems
  • Library of Congress Catalog Number 2002107241
  • Dewey Decimal Code 005.788
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