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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

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 - 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
Country/TerritoryUnited States
CityNew York, NY
Period6/14/106/18/10

Keywords

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

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