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Trends in Web Content and Structure Mining

Trends in Web Content and Structure Mining

Anita Lee-Post, Haihao Jin
Copyright: © 2005 |Pages: 5
ISBN13: 9781591405573|ISBN10: 1591405572|EISBN13: 9781591405597
DOI: 10.4018/978-1-59140-557-3.ch215
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MLA

Lee-Post, Anita, and Haihao Jin. "Trends in Web Content and Structure Mining." Encyclopedia of Data Warehousing and Mining, edited by John Wang, IGI Global, 2005, pp. 1146-1150. https://doi.org/10.4018/978-1-59140-557-3.ch215

APA

Lee-Post, A. & Jin, H. (2005). Trends in Web Content and Structure Mining. In J. Wang (Ed.), Encyclopedia of Data Warehousing and Mining (pp. 1146-1150). IGI Global. https://doi.org/10.4018/978-1-59140-557-3.ch215

Chicago

Lee-Post, Anita, and Haihao Jin. "Trends in Web Content and Structure Mining." In Encyclopedia of Data Warehousing and Mining, edited by John Wang, 1146-1150. Hershey, PA: IGI Global, 2005. https://doi.org/10.4018/978-1-59140-557-3.ch215

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Abstract

Web mining is the use of data mining techniques to automatically discover and extract information from Web documents and services. This area of research is fast-developing today, drawing attention and interests from both researchers and practitioners. The tremendous growth of information available on the Web and the recent interest in e-commerce have accounted for this phenomenon (Kosala & Blockeel, 2000).

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