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

687 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

Fingerprint

World Wide Web
Data mining

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.

Web mining : Information and pattern discovery on the World Wide Web. / Cooley, R.; Mobasher, B.; Srivastava, Jaideep.

Proceedings of the International Conference on Tools with Artificial Intelligence. ed. / Anon. IEEE, 1997. p. 558-567.

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

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. IEEE, pp. 558-567, Proceedings if the 1997 IEEE 9th IEEE International Conference on Tools with Artificial Intelligence, Newport Beach, CA, USA, 3/11/97.
Cooley R, Mobasher B, Srivastava J. Web mining: Information and pattern discovery on the World Wide Web. In Anon, editor, Proceedings of the International Conference on Tools with Artificial Intelligence. IEEE. 1997. p. 558-567
Cooley, R. ; Mobasher, B. ; Srivastava, Jaideep. / Web mining : Information and pattern discovery on the World Wide Web. Proceedings of the International Conference on Tools with Artificial Intelligence. editor / Anon. IEEE, 1997. pp. 558-567
@inproceedings{fcd2eb832d764ebeb86ddd23a6b31bad,
title = "Web mining: Information and pattern discovery on the World Wide Web",
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.",
author = "R. Cooley and B. Mobasher and Jaideep Srivastava",
year = "1997",
language = "English",
pages = "558--567",
editor = "Anon",
booktitle = "Proceedings of the International Conference on Tools with Artificial Intelligence",
publisher = "IEEE",

}

TY - GEN

T1 - Web mining

T2 - Information and pattern discovery on the World Wide Web

AU - Cooley, R.

AU - Mobasher, B.

AU - Srivastava, Jaideep

PY - 1997

Y1 - 1997

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0031385045&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031385045&partnerID=8YFLogxK

M3 - Conference contribution

SP - 558

EP - 567

BT - Proceedings of the International Conference on Tools with Artificial Intelligence

A2 - Anon, null

PB - IEEE

ER -