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9th International Conference on Tools with Artificial Intelligence (ICTAI '97)
Web Mining: Information and Pattern Discovery on the World Wide Web
Newport Beach, CA
November 03-November 08
ISBN: 0-8186-8203-5
R. Cooley, University of Minnesota
B. Mobasher, University of Minnesota
J. Srivastava, University of Minnesota
Application of data mining techniques to the World Wide Web, referred to as Web mining, has been the focus of several recent research projects and papers. However, there is no established vocabulary, leading to confusion when comparing research efforts. The term Web mining has been used in two distinct ways. The first, called Web content mining in this paper, is the process of information discovery from sources across the World Wide Web. The second, called Web usage mining, is the process of mining for user browsing and access patterns. In this paper we define Web mining and present an overview of the various research issues, techniques, and development efforts. We briefly describe WEBMINER, a system for Web usage mining, and conclude this paper by listing research issues.
Index Terms:
data mining, world wide web, association rules, sequential patterns, access patterns, path analysis, web mining
Citation:
R. Cooley, B. Mobasher, J. Srivastava, "Web Mining: Information and Pattern Discovery on the World Wide Web," ictai, pp.0558, 9th International Conference on Tools with Artificial Intelligence (ICTAI '97), 1997
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