Mining The Web

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Mining the Web

Author	: Soumen Chakrabarti
Publisher	: Morgan Kaufmann
Total Pages	: 366
Release	: 2002-10-09
ISBN-10	: 9781558607545
ISBN-13	: 1558607544
Rating	: 4/5 (544 Downloads)

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Book Synopsis Mining the Web by : Soumen Chakrabarti

Download or read book Mining the Web written by Soumen Chakrabarti and published by Morgan Kaufmann. This book was released on 2002-10-09 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: The definitive book on mining the Web from the preeminent authority.

Mining the Web Related Books

Language: en
Pages: 366

Mining the Web

Authors: Soumen Chakrabarti

Categories: Computers

Type: BOOK - Published: 2002-10-09 - Publisher: Morgan Kaufmann

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The definitive book on mining the Web from the preeminent authority.

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Web Data Mining

Authors: Bing Liu

Categories: Computers

Type: BOOK - Published: 2011-06-25 - Publisher: Springer Science & Business Media

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Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where a

Language: en
Pages: 236

Data Mining the Web

Authors: Zdravko Markov

Categories: Computers

Type: BOOK - Published: 2007-04-06 - Publisher: John Wiley & Sons

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This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language process

Language: en
Pages: 192

Mining the World Wide Web

Authors: George Chang

Categories: Computers

Type: BOOK - Published: 2001-07-31 - Publisher: Springer Science & Business Media

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Mining the World Wide Web: An Information Search Approach explores the concepts and techniques of Web mining, a promising and rapidly growing field of computer

Language: en
Pages: 542

Web Data Mining and Applications in Business Intelligence and Counter-Terrorism

Authors: Bhavani Thuraisingham

Categories: Business & Economics

Type: BOOK - Published: 2003-06-26 - Publisher: CRC Press

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The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be o