Web Mining: Information and Pattern Discovery on the World Wide Web
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Web Mining: Information and Pattern Discovery on the World Wide Web
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1997
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Abstract
Two important and active areas of current research are data mining and the World Wide
Web. A natural combination of the two areas, sometimes referred to as Web mining, has
been the focus of several recent research projects and papers. As with any emerging research
area there is no established vocabulary, leading to confusion when comparing research efforts.
Different terms for the same concept or different definitions being attached to the same word
are commonplace. The term Web mining has been used in two distinct ways. The first, which is
referred to as Web content mining in this paper, describes the process of information or resource
discovery from millions of sources across the World Wide Web. The second, which we call Web
usage mining, is the process of mining Web access logs or other user information user browsing
and access patterns on one or more Web localities. In this paper we define Web mining and,
in particular, present an overview of the various research issues, techniques, and development
efforts in Web content mining and Web usage mining. We focus mainly on the problems and
proposed techniques associated with Web usage mining as an emerging research area. We also
present a general architecture for Web usage mining and briefly describe the WEBMINER, a
system based on the proposed architecture. We conclude this paper by listing issues that need
the attention of the research community.
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Cooley, Robert; Mobasher, Bamshad; Srivastava, Jaideep. (1997). Web Mining: Information and Pattern Discovery on the World Wide Web. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/215309.
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