Mining the Web: Discovering Knowledge from Hypertext Data

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Soumen Chakrabarti (Assistant Professor of Computer Science, Indian Institute of Technology, Bombay, India)

Mining the Web

Discovering Knowledge from Hypertext Data

Soumen Chakrabarti (Assistant Professor of Computer Science, Indian Institute of Technology, Bombay, India)

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English

Morgan Kaufmann Publishers In
09 October 2002

Library, archive & information management; Internet guides & online services; Databases; Databases & the Web; Artificial intelligence; Expert & knowledge-based systems

Series: The Morgan Kaufmann Series in Data Management Systems

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.
* A comprehensive, critical exploration of statistics-based attempts to make sense of Web Mining.
* Details the special challenges associated with analyzing unstructured and semi-structured data.
* Looks at how classical Information Retrieval techniques have been modified for use with Web data.
* Focuses on today's dominant learning methods: clustering and classification, hyperlink analysis, and supervised and semi-supervised learning.
* Analyzes current applications for resource discovery and social network analysis.
* An excellent way to introduce students to especially vital applications of data mining and machine learning technology.

By: Soumen Chakrabarti (Assistant Professor of Computer Science Indian Institute of Technology Bombay India)
Imprint: Morgan Kaufmann Publishers In
Country of Publication: United States
Dimensions: Height: 235mm, Width: 187mm, Spine: 26mm
Weight: 790g
ISBN: 9781558607545
ISBN 10: 1558607544
Series: The Morgan Kaufmann Series in Data Management Systems
Pages: 368
Publication Date: 09 October 2002
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Soumen Chakrabarti is assistant Professor in Computer Science and Engineering at the Indian Institute of Technology, Bombay. Prior to joining IIT, he worked on hypertext databases and data mining at IBM Almaden Research Center. He has developed three systems and holds five patents in this area. Chakrabarti has served as a vice-chair and program committee member for many conferences, including WWW, SIGIR, ICDE, and KDD, and as a guest editor of the IEEE TKDE special issue on mining and searching the Web. His work on focused crawling received the Best Paper award at the 8th International World Wide Web Conference (1999). He holds a Ph.D. from the University of California, Berkeley.

Reviews for Mining the Web: Discovering Knowledge from Hypertext Data

...solid and beneficial to readers interested in Web data mining, especially those interested in the details of algorithmic implementation. - Bernard J. Jansen, Information Processing & Management This book, for the first time, makes it possible to offer Web Mining as a real course. -- Professor Jaideep Srivastava, University of Minnesota.