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Mining the Web : discovering knowledge from hypertext data /

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 issuesincluding Web crawling and indexingChakrabarti examines low-level mac...

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Bibliographic Details
Main Authors: Chakrabarti, Soumen
Corporate Authors: Elsevier Science & Technology
Published: Morgan Kaufmann Publishers,
Publisher Address: San Francisco, CA :
Publication Dates: 2003.
Literature type: eBook
Language: English
Subjects:
Data mining
Hypertext systems
Web databases
Exploration de donne es Informatique
Hypertexte
Bases de donne es sur le Web
Electronic books
Online Access: http://www.sciencedirect.com/science/book/9781558607545
Summary: 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 issuesincluding Web crawling and indexingChakrabarti 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 st
Carrier Form: 1 online resource (xviii, 345 pages) : illustrations
Bibliography: Includes bibliographical references (pages 307-327) and index.
ISBN: 9781558607545
1558607544
Index Number: QA76
CLC: TP311.13
Contents: Crawling the Web -- Web search and information retrieval -- Similarity and clustering -- Supervised learning -- Semisupervised learning -- Social network analysis -- Resource discovery -- The future of Web mining.

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