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Cited by 1,162

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

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

Open access
Cooley, R., Mobasher, B., Srivastava, J.·2002·Proceedings Ninth IEEE International Conference on Tools with Artificial Intelligence

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.

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Metadata

Authors
Cooley, R., Mobasher, B., & Srivastava, J.
Venue
Proceedings Ninth IEEE International Conference on Tools with Artificial Intelligence
Published
2002-11-22
Pages
558-567
ISSN
1082-3409 (ISSN-L)
OpenAlex
W2129538325
Cited by
1,162
References
29
FWCI
59.96
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Web mining: information and pattern discovery on the World Wide Web. https://app.cochat.ai/papers/10.1109/tai.1997.632303
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Cooley, R., Mobasher, B., & Srivastava, J. (2002). Web mining: information and pattern discovery on the World Wide Web. Proceedings Ninth IEEE International Conference on Tools with Artificial Intelligence. https://doi.org/10.1109/tai.1997.632303

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.