Title :
Web mining: information and pattern discovery on the World Wide Web
Author :
Cooley, R. ; Mobasher, B. ; Srivastava, J.
Author_Institution :
Dept. of Comput. Sci. & Eng., Minnesota Univ., Minneapolis, MN, USA
Abstract :
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. 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 the paper by listing research issues
Keywords :
Internet; human factors; information retrieval; knowledge acquisition; WEBMINER; Web content mining; Web mining; Web usage mining; World Wide Web; access patterns; data mining techniques; information discovery; pattern discovery; research issue; user browsing; Computer science; Data engineering; Data mining; Information analysis; Information resources; Intelligent agent; Search engines; Taxonomy; Web mining; Web sites;
Conference_Titel :
Tools with Artificial Intelligence, 1997. Proceedings., Ninth IEEE International Conference on
Conference_Location :
Newport Beach, CA
Print_ISBN :
0-8186-8203-5
DOI :
10.1109/TAI.1997.632303