Mining the Web: Discovering Knowledge from Hypertext Data

Přední strana obálky
Morgan Kaufmann, 23. 10. 2002 - Počet stran: 344
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Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for extracting and 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 machine learning techniques as they relate specifically to the challenges of Web mining and provides applications of machine learning to sytematically acquire, store, and analyze data. Here the focus is on results: the strengths and weaknesses of these applications, along with their potential as foundations for further progress toward a Web that is more aware of content semantics. This thorough and forward-looking book gives the theoretical and practical foundations you need to build innovative applications for mining the Web.

Features
  • A comprehensive, critical exploration of statistics-based attempts to make sense of Web data.
  • 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.
 

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Vybrané stránky

Obsah

Infrastructure
15
Learning
77
Applications
201
References
307
Index
327
About the Author
345
Autorská práva

Další vydání - Zobrazit všechny

Mining the Web: Discovering Knowledge from Hypertext Data
Soumen Chakrabarti,Soumen (Asst. Prof. of Computer Science Chakrabarti, Indian Institute of Technology Bombay)
Omezený náhled - 2002
Mining the Web: Discovering Knowledge from Hypertext Data
Soumen Chakrabarti
Omezený náhled - 2002
Mining the Web: Discovering Knowledge from Hypertext Data
Soumen Chakrabarti
Náhled není k dispozici. - 2002

Běžně se vyskytující výrazy a sousloví

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O autorovi (2002)

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.

Bibliografické údaje

QR code for Mining the Web
TitulMining the Web: Discovering Knowledge from Hypertext Data
The Morgan Kaufmann Data Manag
The Morgan Kaufmann Series in Data Management Systems, ISSN 1046-1698
AutořiSoumen Chakrabarti, Soumen (Asst. Prof. of Computer Science Chakrabarti, Indian Institute of Technology Bombay)
PřispěvateléEngineering Information Inc, Safari, an O'Reilly Media Company
Vydáníilustrované vydání
VydavatelMorgan Kaufmann, 2002
ISBN1558607544, 9781558607545
DélkaPočet stran: 344
  
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