Mining the Web
Discovering Knowledge from Hypertext Data
Series: The Morgan Kaufmann Series in Data Management Systems;
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Product details:
- Publisher Morgan Kaufmann
- Date of Publication 16 October 2002
- ISBN 9781558607545
- Binding Hardback
- No. of pages368 pages
- Size 234x187 mm
- Weight 790 g
- Language English
- Illustrations w. figs. 0
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Long 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.
MoreTable of 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.
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