Spam Filtering
Spam Filtering is a computational method within the field of information filtering that specifically identifies and separates unsolicited, irrelevant, or malicious electronic messages from legitimate content based on predefined criteria or learned patterns.
1.8K
Publications
105.3K
Citations
4.3K
Authors
1.3K
Institutions
Publications per year
2017–2026
579
1.8K
Nitin Jindal, Bing Liu · 2008 · 1.5K citations
Foundations of Machine Learning
Ajit Singh · SSRN Electronic Journal · 2019 · 1.2K citations · Full text
A Bayesian Approach to Filtering Junk E-Mail
Mehran Sahami, Susan Dumais, David Heckerman et al. · 1998 · 1.2K citations
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Georgia Institute of Technology
Atlanta, United States
21 h-index
69 publications
6.1K citations
Microsoft (United States)
Redmond, United States
20 h-index
61 publications
7.2K citations
University of California, Berkeley
Berkeley, United States
19 h-index
52 publications
20.3K citations

Deakin University
Burwood, Australia
16 h-index
68 publications
4.1K citations
Tsinghua University
Beijing, China
15 h-index
68 publications
3.7K citations

King Saud University
Riyadh, Saudi Arabia
15 h-index
32 publications
2.2K citations
University of Michigan
Ann Arbor, United States
14 h-index
38 publications
1.6K citations

Universidade de Vigo
Vigo, Spain
14 h-index
64 publications
2.1K citations
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30 publications · 1.4K citations
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24 publications · 1.9K citations
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Conference · 25 publications · 1.8K citations
20
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Repository · 31 publications · 2K citations
16
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13 publications · 410 citations
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