Personalized spam filtering with semi-supervised classifier ensemble

Proceedings - 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings), WI'06

Volumn , Issue , 2006, Pages 195-201

  Cheng, Victor ^a   Li, C H ^a  

^a HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA ACQUISITION; SUPERVISED LEARNING; SUPPORT VECTOR MACHINES; USER INTERFACES;

GENERIC LABELED EMAILS; SPAM FILTERING;

SPAMMING;

EID: 42549104919     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WI.2006.132     Document Type: Conference Paper

References (21)

1. A.H.M Kamal, "Spammers! Beware", http://www.thedailyslar.net/ law/2005/02/01/index.htm, accessed July 2006.
2. http://www.mail-abuse.org, accessed July 2006.
3. http://www.spamcop.net, accessed July 2006.
4. W.W. Cohen, "Learning Rules that Classify E-mail", Proc. 1996 AAAI Spring Symposium on Machine Learning in Information Access.
5. Mozilla Spam Filtering, http://www.mozilla.org/mailnews/spam.html, accessed July 2006.
6. M. Sahami, S. Dumais, D. Heckerman, and E. Horvitz, "A Bayesian Approach to Filtering Junk E-mail", AAAI Workshop on Learning for Text Categorization, Madison, Wisconsin, July 1998.
7. The Apache SpamAssassin Project, http://spamassassin.apache.org/, accessed July 2006.
8. The DSPAM Project, http://www.nuclearelephant.com/projects/dspam/ accessed July 2006.
9. K. Tretyakov, "Machine Learning Techniques in Spam Filtering", Data Mining Problem-oriented Seminar, MTAT.03.177, May 2004, pp. 60-79.
10. Scholkopf B.: Statistical Learning and Kernel Method. MSR-TR 2000-23, Microsoft Research (2000)
11. H. Drucker, D. Wu, and V.N. Vapnik, "Support Vector Machines for Spam Categorization", IEEE Trans. On Neural Networks, Vol. 10, No. 5, Sept. 1999.
12. T. Joachims, "Text Categorization with Support Vector Machines: Learning with Many Relevant Features", European Conference on Machine Learning (ECML), Claire Nédellec and Céline Rouveirol (ed.), 1998.
13. Omidvar, O., Dayhoff, J.: Neural Networks and Pattern Recognition, Academic Press, 1998.
14. http://iit.demokritos.gr/skel/i-config/downloads/, accessed July 2006.
15. E. Michelakis, I. Androutsopoulos, G. Paliouras, G. Sakkis, P. Stamatopoulos, "Filtron: A Learning-Based Anti-Spam Filter", Proceedings of the First Conference on Email and Anti-Spam (CEAS), 2004.
16. Discovery Challenge, ECMLPKDD2006, http://www.ecmlpkdd2006.org/challenge. html, accessed July 2006.
17. X. Zhu, Semi-Supervised Learning with Graphs, Doctoral thesis, CMU-LTI-05-192, May 2005
18. A.P. Bradley, "The Use of the Area Under the ROC curve in the Evaluation of Machine Learning Algorithms, Pattern Recognition, 30:1145-1159, 1997.
19. F. Wilcoxon, "Individual Comparisons by Ranking Methods", Biometrics, 1:80-83, 1945.
20. H.B. Mann and D.R. Whitney, "On a Test Whether One of Two Random Variables is Stochastically Larger than the Other", Annals of Mathematical Statistics, 18:50-60, 1947.
21. TM. Mictchell, Machine Learning, McGraw-Hill Companies, Inc., 1997.