ANTI-SPAM filtering using neural networks

Proceedings of the International Conference on Artificial Intelligence, IC-AI'04

Volumn 2, Issue , 2004, Pages 984-989

  Elfayoumy, Sherif ^a   Yang, Yue ^a   Ahuja, Sanjay ^a  

^a UNIVERSITY OF NORTH FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTI-SPAM FILTERING; ONLINE COMMUNICATION SYSTEMS; SENSITIVITY METRICS; SUMMING FUNCTIONS;

ALGORITHMS; BACKPROPAGATION; BANDWIDTH; COMPUTER SOFTWARE; COSTS; ELECTRONIC MAIL; FEEDFORWARD NEURAL NETWORKS; FUNCTIONS; INTERNET; NEURAL NETWORKS; ONLINE SYSTEMS; PRODUCTIVITY; TOPOLOGY; VECTORS;

SECURITY OF DATA;

EID: 12744263601     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Paul Graham, "A plan for spam," http://www.paulgraham.com/spam.html
2. I. Androutsopoulos, J. Koutsias, K. Chandrinos, and C. Spyropoulos, "An experimental comparison of naïve Bayesian and keyword-based anti-spam filtering with encrypted personal e-mail messages," Proc. SIGIR 2000, Athens, Greece, pp. 160-167, 2000.
3. Y. Pao, "Adaptive Pattern Recognition and Neural Networks," Addison Wesley, New York, NY, 1989.
4. C. Ji, and S. Ma, "Performance and Efficiency: Recent Advances in Supervised Learning," Proc. IEEE, vol. 87, pp. 1519-1535, 1999.
5. Letteri H. Tsoukalas and Rober E. Uhrig et al., "Fuzzy and Neural Approaches in Engineering," John Wiley & Sons, Inc., 1996.
6. "UCI Machine Learning Repository Content Summary," http://www.ics.uci.edu/~mlearn/MLSummary.html.
7. "Spambase Documentation," http://www.ics.uci.edu/~mlearn/MLRepository.html.
8. B. Efron, and R. Tibshirani, "An Introduction to the Bootstrap," Chapman and Hall, New York, London, 1993.
9. J. Han, and J. Kamber, "Data Mining: Concepts and Techniques," Morgan Kaufmann, 2001.