Web mining: Information and pattern discovery on the World Wide Web

R. Cooley, B. Mobasher, Jaideep Srivastava

Research output: Chapter in Book/Report/Conference proceedingConference contribution

702 Citations (Scopus)

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. 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.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Tools with Artificial Intelligence
Editors Anon
PublisherIEEE
Pages558-567
Number of pages10
Publication statusPublished - 1997
Externally publishedYes
EventProceedings if the 1997 IEEE 9th IEEE International Conference on Tools with Artificial Intelligence - Newport Beach, CA, USA
Duration: 3 Nov 19978 Nov 1997

Other

OtherProceedings if the 1997 IEEE 9th IEEE International Conference on Tools with Artificial Intelligence
CityNewport Beach, CA, USA
Period3/11/978/11/97

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ASJC Scopus subject areas

  • Software

Cite this

Cooley, R., Mobasher, B., & Srivastava, J. (1997). Web mining: Information and pattern discovery on the World Wide Web. In Anon (Ed.), Proceedings of the International Conference on Tools with Artificial Intelligence (pp. 558-567). IEEE.