Transductive support vector machine for personal inboxes spam categorization

Proceedings - CIS Workshops 2007, 2007 International Conference on Computational Intelligence and Security Workshops

Volumn , Issue , 2007, Pages 459-463

  Chao, Xu ^a   Yiming, Zhou ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; IMAGE RETRIEVAL; INTELLIGENT CONTROL; INTERNET; LEARNING SYSTEMS; SPAMMING; VECTORS;

COMPUTATIONAL INTELLIGENCE; INBOXES; INTERNATIONAL CONFERENCES; PARAMETER SELECTION; SPAM FILTERING; TEST DATA IN; TRAINING DATA; TRANSDUCTIVE SUPPORT VECTOR MACHINE;

SUPPORT VECTOR MACHINES;

EID: 52249109321     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Tretyakov, K, "Machine Learning Techniques in Spam Filtering", Data Mining Problem-oriented Seminar, MTAT.03.177, pp. 60-79, May 2004.
2. Joachims, T, "Text Categorization with Support Vector Machines: Learning with Many Relevant Features", LS8-Prport 23, Universität Dortmund, LS VIII-Report
3. Vapnik, V., Statistical Learning Theory, Wiley, 1998
4. Joachims, T, Learning to classify text using support vector machines: methods, theory, and algorithms, Kluwer, 2002.
5. Drucker, H., Wu, D., and Vapnik. V., "Support Vector Machines for Spam Categorization", IEEE Trans on Neural Networks, 1999, 10(5): pp. 1048-1054,.
6. Bickel, S. ECML-PKDD discovery challenge 2006. http://www.ecmlpkdd2006. org/challenge.html