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Volumn , Issue , 2005, Pages 5716-5719

Learning to classify email: A survey

Author keywords

Email classification; Email ontology; Naive Bayes; Spam filters; Support Vector Machines; TF IDF

Indexed keywords

COMMUNICATION SYSTEMS; LEARNING SYSTEMS;

EID: 28444450126     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (36)

References (22)
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    • Center for Intelligent Information Retrieval, Univesity of Massachusetts, Amherst
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    • (2004) Tech. Rep. , vol.IR-418
    • Bekkerman, R.1    McCallum, A.2    Huang, G.3
  • 10
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    • The enron corpus: A new dataset for email classification research
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    • Metzger, J.1    Schillo, M.2    Fischer, K.3
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    • Porter, M.1
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    • Co-training with a single natural feature set applied to email classification
    • Beijing; China
    • K. J. Chan and J. Poon, "Co-training with a single natural feature set applied to email classification," in the IEEE International Conference on Web Intelligence, Beijing; China, 2004.
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  • 18
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    • Automatic induction of rules for e-mail classification
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  • 19
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    • Ontology-based classification of email
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    • (2003) ITCC , pp. 194-198
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  • 22
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    • Leveraging social networks to fight spam
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.