Collaborative spam filtering with heterogeneous agents

Expert Systems with Applications

Volumn 35, Issue 4, 2008, Pages 1555-1566

  Shih, Dong Her ^a   Chiang, Hsiu Sen ^a   Lin, Binshan ^b  

^a NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b LOUISIANA STATE UNIVERSITY   (United States)

Author keywords

Anti spam; Collaborative learning; Heterogeneous; Multi agent; Spam; Spam filtering

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; EDUCATION; INFORMATION MANAGEMENT; INTERNET; INTEROPERABILITY; LEARNING SYSTEMS; MINING; SEARCH ENGINES; SPAMMING;

ANTI-SPAM; ASSIGNMENT PROBLEM; COLLABORATIVE FILTERING; COLLABORATIVE LEARNING; DATA MINING METHODS; HETEROGENEOUS; HETEROGENEOUS AGENTS; MACHINE LEARNING METHODS; MULTI-AGENT; PRINCIPLE SOLUTION; SPAM; SPAM FILTERING; UNIFIED FRAMEWORK;

FILTRATION;

EID: 48749128394     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.08.062     Document Type: Article

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