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Abstract: The World-Wide Web provides every internet citizen with access to an abundance of information, but it becomes increasingly difficult to identify the relevant pieces of information. Research in web mining tries to address this problem by applying techniques from data mining and machine learning to Web data and documents. This chapter provides a brief overview of web mining techniques and research areas, most notably hypertext classification, wrapper induction, recommender systems and web usage... (Update)
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BibTeX entry: (Update)
Johannes F urnkranz. Web mining. In Oded Maimon and Lior Rokach, editors, The Data Mining and Knowledge Discovery Handbook, pages 899-- 920. Springer, 2005. http://citeseer.ist.psu.edu/urnkranz04web.html More
@misc{ urnkranz05web,
author = "J. urnkranz",
title = "Web mining",
text = "Johannes F urnkranz. Web mining. In Oded Maimon and Lior Rokach, editors,
The Data Mining and Knowledge Discovery Handbook, pages 899-- 920. Springer,
2005.",
year = "2005",
url = "citeseer.ist.psu.edu/urnkranz04web.html" }
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