Web Content Mining
Web Content Mining is the academic discipline within Web Mining that focuses on extracting and analyzing meaningful information, patterns, and knowledge directly from the textual, structural, and multimedia content of web pages, distinguishing it from methods concerned with web usage or link structure analysis.
1.1K
Publications
58.8K
Citations
2.5K
Authors
872
Institutions
Publications per year
2017–2026
145
Parents
1.1K
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
Self-organization and identification of Web communities
Gary William Flake, Sandra Lawrence, C. Lee Giles et al. · Computer · 2002 · 1K citations
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Microsoft (United States)
Redmond, United States
14 h-index
41 publications
4K citations
Microsoft Research Asia (China)
Beijing, China
14 h-index
37 publications
3.3K citations
National University of Singapore
Singapore, Singapore
13 h-index
24 publications
1.5K citations
University of Arizona
Tucson, United States
12 h-index
17 publications
1.5K citations
University of Illinois Chicago
Chicago, United States
11 h-index
19 publications
3K citations
Nanyang Technological University
Singapore, Singapore
10 h-index
26 publications
1.1K citations
University of Illinois Urbana-Champaign
Urbana, United States
10 h-index
23 publications
2.3K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
10 h-index
20 publications
554 citations
1–8 of 872
20 publications · 1.2K citations
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13 publications · 375 citations
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TKDE · 10 publications · 704 citations
10
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10 publications · 3K citations
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9 publications · 385 citations
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