Web Usage Mining
Web Usage Mining is a subfield of Web Mining that involves the application of data mining techniques to discover patterns in user navigational behavior and interaction data collected from web servers, proxy logs, or other client-side sources, distinguishing it by its focus on analyzing usage patterns to understand and improve user experience on the web.
894
Publications
49.9K
Citations
2K
Authors
771
Institutions
Publications per year
2017–2026
93
894
Jaideep Srivastava, Robert Cooley, Mukund Deshpande et al. · ACM SIGKDD Explorations Newsletter · 2000 · 2.1K citations
Raymond Kosala, Hendrik Blockeel · ACM SIGKDD Explorations Newsletter · 2000 · 1.4K citations · Full text
Web data mining: exploring hyperlinks, contents, and usage data
Choice Reviews Online · 2012 · 1.2K citations
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771

DePaul University
Chicago, United States
15 h-index
40 publications
6.8K citations
University of Chile
Santiago, Chile
12 h-index
23 publications
810 citations

University of Minnesota
Minneapolis, United States
10 h-index
24 publications
16.4K citations
Nanyang Technological University
Singapore, Singapore
9 h-index
23 publications
607 citations
University of Arizona
Tucson, United States
8 h-index
12 publications
383 citations

National University of Kaohsiung
Kaohsiung City, Taiwan
8 h-index
12 publications
284 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
7 h-index
13 publications
4.1K citations
Middle East Technical University
Ankara, Türkiye
7 h-index
14 publications
348 citations
1–8 of 771
13 publications · 1.2K citations
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18 publications · 456 citations
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Repository · 10 publications · 252 citations
10
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9 publications · 352 citations
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TKDE · 7 publications · 689 citations
7
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