Concentration based feature construction approach for spam detection

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2009, Pages 3088-3093

  Tan, Ying ^a   Deng, Chao ^a   Ruan, Guangchen ^a  

^a Peking University   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ELEMENT CONCENTRATIONS; FEATURE CONSTRUCTION; FEATURE VECTORS; GENE LIBRARIES; HUMAN IMMUNE SYSTEMS; LINEAR DISCRIMINANTS; OPTIMIZATION PROBLEMS; SELF-CONCENTRATION; SPAM DETECTION;

CLASSIFIERS; IMAGE RETRIEVAL; INTERNET; LEARNING SYSTEMS; NEONATAL MONITORING; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); SPAMMING; VECTORS;

CONCENTRATION (PROCESS);

EID: 70449360772     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2009.5178651     Document Type: Conference Paper

References (18)

1. I. Androutsopoulos, J. Koutsias, K. V. Chandrinos, and C. D. Spyropoulos, "An experimental comparison of naive bayesian and keyword-based anti-spam filtering with personal e-mail messages, " in Proc. of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2000, pp. 160- 167.
2. M. Sahami, S. Dumais, D. Heckerman, and E. Horvitz, "A bayesian approach to filtering junk e-mail, " in AAAI Workshop on Learning for Text Categorization, 1998, pp. 55-62.
3. H. Drucker, D. Wu, and V. N. Vapnik, "Support vector machines for spam categorization, " IEEE Trans. Neural Netw., vol. 10, pp. 1048- 1054, September 1999.
4. Y. Tan and J. Wang, "A support vector network with hybrid kernel and minimal vapnik-chervonenkis dimension, " IEEE Trans. Knowl. Data Eng., vol. 26, pp. 385-395, April 2004.
5. J. Clark, I. Koprinska, and J. Poon, "A neural network based approach to automated e-mail classification, " in Proc. IEEE International Conference on Web Intelligence (WI'03), Halifax, Canada, 2003, pp. 702- 705.
6. I. Stuart, S.-H. Cha, and C. Tappert, "A neural network classifier for junk e-mail, " Lecture Notes in Computer Science, pp. 442-450, 2004.
7. T. Oda and T. White, "Increasing the accuracy of a spam-detecting artificial immune system, " in Proc. IEEE Congress on Evolutionary Computation (CEC'03), vol. 1, Canberra, Australia, December 2003, pp. 390-396.
8. A. Secker, A. A. Freitas, and J. Timmis, "AISEC: An artificial immune system for email classification, " in Proc. IEEE Congress on Evolutionary Computation (CEC'03), vol. 1, Canberra, Australia, December 2003, pp. 131-139.
9. Y. Tan, "Multiple-point bit mutation method of detector generation for snsd model, " Lecture Notes in Computer Science 3973, pp. 340-345, 2006.
10. I. Rigoutsos and T. Huynh, "Chung-kwei: a pattern-discovery-based system for the automatic identification of unsolicited e-mail messages (spam), " in Proc. of the first Conference on Email and AntiSpam (CEAS'04), Mountain View, CA, July 2004.
11. B. Leiba and N. Borenstein, "A multifaceted approach to spam reduction, " in Proc. of the first Conference on Email and AntiSpam (CEAS'04), Mountain View, CA, July 2004.
12. M.-W. Wu, Y Huang, S.-K. Lu, I.-Y Chen, and S.-Y Kuo, "A multifaceted approach towards spam-resistible mail, " in Proc. IEEE Pacific Rim International Symposium on Dependable Computing, December 2005, pp. 208-218.
13. C.-Y Yeh, C.-H. Wu, and S.-H. Doong, "Effective spam classification based on meta-heuristics, " in Proc. IEEE International Conference on Systems, Man and Cybernetics, vol. 4, October 2005, pp. 3872-3877.
14. M. H. Zuchini, "Aplições de mapas auto- organizáveis emmineração de dados e recuperação de informação, " Master's thesis, UNICAMP, 2003.
15. Y Tan and Z. Xiao, "Clonal particle swarm optimization and its applications, " in Proc. IEEE Congress on Evolutionary Computation (CEC'07), Singapore, 2007, pp. 2303-2309.
16. I. Androutsopoulos, J. Koutsias, K. V. Chandrinos, G. Paliouras, and C. D. Spyropoulos, "An evaluation of naive bayesian anti-spam filtering, " in Proc. European Conference on Machine Learning (ECML'00), 2000.
17. C.-C. Chang and C.-J. Lin, LIBSVM: a Library for Support Vector Machines, 2001. [Online]. Available: http://www.csie.ntu.edu.twrcjlin/libsvm
18. I. Koprinska, J. Poon, J. Clark, and J. Chan, "Learning to classify e-mail, " Information Science, May 2007.