Incorporting keyword-based filtering to document classification for email spamming

Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007

Volumn 7, Issue , 2007, Pages 3899-3904

  Wong, Tak Lam ^a   Chow, Kai On ^a   Wong, Franz ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Cost sensitive evaluation; Documents classification; Email altering; Keyword based altering

Indexed keywords

CLASSIFICATION (OF INFORMATION); COST BENEFIT ANALYSIS; DATA PRIVACY; INTERNET; PROBLEM SOLVING; REAL TIME SYSTEMS;

COST-SENSITIVE EVALUATION; DOCUMENT CLASSIFICATION; EMAIL SPAMMING; KEYWORD-BASED ALTERING;

SPAMMING;

EID: 38048999050     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2007.4370827     Document Type: Conference Paper

References (12)

1. I. Androutsopoulos, J. Kout, K. Chandrinos, G. Paliouras, and C. Spyropoulos, "An evaluation of naive Bayesian anti-spam filtering", Proceedings of the Workshop on Machine Learning in the New Information Age, pp. 9-17, 2000.
2. I. Androutsopoulos, G. Paliouras, V. Karkaletsis, G. Sakkis, C. Spyropoulos, and P. Stamatopoulos "Learning to filter spam email: A comparison of a naive bayesian and a memorybased approach", Proceedings of the Fourth PKDD's Workshop on Machine Learning and Textual Information Access, pp. 1-13, 2000.
3. A. Bratko, G. Cormack, B. Filipic, T. Lynam, and B. Zupan, "Spam filtering using statistical data compression models", Journal of Machine Learning Research, Vol 7, No. 12, pp. 2673-2698, 2006.
4. X. Carreras and L. Marquez. "Boosting trees for anti-spam email filtering", Proceedings of the fourth International Conference on Recent Advances in Natural Language Processing, pp 58-64, 2001.
5. W. Cohen, "Learning rules that classify e-mail", Proceedings of the AAAI Spring Symposium on Machine Learning in Information Access, pp. 18-25, 1996.
6. L. F. Cranor and B. A. LaMacchia, "Spam!", Communications of the ACM, Vol 41, No. 8, pp. 74-83, 1998.
7. B. Davison, M. Najork, and T. Converse, Proceedings of the Second International Workshop on Adversarial Information Retrieval on the Web, Technical Report LU-CSE-06-027, Department of Computer Science and Engineering, Lehigh University, 2006
8. J. E. Dunn, "Spam - some figures on the threat", http://www.techworld.com/features/index.cfm?featureid= 1372, 2005.
9. J. Hidalgo, M. Lopez, and E. Sanz, "Combining text and heuristics for cost-sensitive spam filtering", Proceedings of The Fourth Conference on Computational Language Learning and the Second Learning Language in Logic Workshop, pp. 99-102, 2000.
10. G. Mishne, D. Carmel, and R. Lempel, "Blocking blog spam with language model disagreement", Proceedings of the 1st International Workshop on Adversarial Information Retrieval on the Web, pp. 1-6, 2005.
11. M. Sahami, S. Dumais, D. Heckerman, and E. Horvitz, "A Bayesian approach to filtering junk email", Proceedings of AAAI-98 Workshop on Learning for Text Categorization, pp. 55-62, 1998.
12. G. Sakkis, I. Androutsopoulos, G. Paliouras, V. Karkaletsis, C. Spyropoulos, and P. Stamatopoulos, "A memorybased approach to anti-spam filtering for mailing lists", Information Retrieval, Vol 6, No. 1, pp. 49-73, 2003.