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Browsing by Author "Cooley, Robert"

Now showing 1 - 3 of 3
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    Discovery of Interesting Usage Patterns from Web Data
    (1999-05-23) Cooley, Robert; Tan, Pang-ning; Srivastava, Jaideep
    Web Usage Mining is the approach of applying data mining techniques to large Web data repositories in order to extract usage patterns. As with many data mining application domains, the identification of patterns that are considered interesting is a problem that must be solved in addition to simply generating them. A necessary step in identifying interesting results is quantifying what is considered uninteresting in order to form a basis for comparison. Several research efforts have relied on manually generated sets of uninteresting rules. However, manual generation of a comprehensive set of evidence about beliefs for a particular domain is impractical in many cases. Generally, domain knowledge can be used to automatically create evidence for or against a set of beliefs. This paper develops a quantitative model based on support logic for determining the interestingness of discovered patterns. For Web Usage Mining, there are three types of domain information available; usage, content, and structure. This paper also describes algorithms for using these three types of information to automatically identify interesting knowledge. These algorithms have been incorporated into the Web Site Information Filter (WebSIFT) system and examples of interesting frequent itemsets automatically discovered from real Web data are presented.
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    Grouping Web Page References Into Transactions for Mining World Wide Web Browsing Patterns
    (1997) Cooley, Robert; Mobasher, Bamshad; Srivastava, Jaideep
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    Web Mining: Information and Pattern Discovery on the World Wide Web
    (1997) Cooley, Robert; Mobasher, Bamshad; Srivastava, Jaideep
    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.