A case for unsupervised-learning-based spam filtering

Feng Qian, Abhinav Pathak, Y. Charlie Hu, Z. Morley Mao, Yinglian Xie

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

12 Scopus citations
Original languageEnglish (US)
Title of host publicationSIGMETRICS'10 - Proceedings of the 2010 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems
Pages367-368
Number of pages2
Edition1 SPEC. ISSUE
DOIs
StatePublished - Jul 30 2010
Externally publishedYes
Event2010 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS'10 - New York, NY, United States
Duration: Jun 14 2010Jun 18 2010

Publication series

NamePerformance Evaluation Review
Number1 SPEC. ISSUE
Volume38
ISSN (Print)0163-5999

Conference

Conference2010 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS'10
CountryUnited States
CityNew York, NY
Period6/14/106/18/10

Keywords

  • Latent semantics analysis (LSA)
  • Spam campaign
  • Spamcampaignassassin (SCA)
  • Unsupervised learning

Cite this

Qian, F., Pathak, A., Hu, Y. C., Mao, Z. M., & Xie, Y. (2010). A case for unsupervised-learning-based spam filtering. In SIGMETRICS'10 - Proceedings of the 2010 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (1 SPEC. ISSUE ed., pp. 367-368). (Performance Evaluation Review; Vol. 38, No. 1 SPEC. ISSUE). https://doi.org/10.1145/1811099.1811090