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| MINING THE WEB
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 Discovering Knowledge from Hypertext Data
To order this title, and for more information, click here
By
Soumen Chakrabarti, Asst. Prof. of Computer Science, Indian Institute of Technology, Bombay
Description
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.
Audience
data mining academics, research and development professionals in data mining, senior/graduate level students in computer science
Contents
Preface. Introduction. I Infrastructure: Crawling the Web. Web search. II Learning: Similarity and clustering. Supervised learning for
text. Semi-supervised learning. III Applications: Social network analysis. Resource discovery. The future of Web mining.
| Bibliographic details |
Hardbound, 344 pages, publication date: OCT-2002
ISBN-13: 978-1-55860-754-5
ISBN-10: 1-55860-754-4
Imprint: MORGAN KAUFFMAN
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| Price and Ordering |
Price:
EUR 64.95
GBP 42.99
USD 74.95
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Last update: 27 Sep 2008
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