Spam classification using nearest neighbour techniques

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3177, Issue , 2004, Pages 578-585

  Trudgian, Dave C ^a  

^a UNIVERSITY OF EXETER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 35048871192     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28651-6_85     Document Type: Article

References (8)

1. Massey, B., Thomure, M., Budrevich, R., Long, S.: Learning spam: Simple techniques for freely-available software. Usenix 2003, Freenix Track (2003)
2. Mount, D., Arya, S.: Ann: A library for approximate nearest neighbor searching (1997)
3. Arya, S., Mount, D.M., Netanyahu, N.S., Silverman, R., Wu, A.Y.: An optimal algorithm for approximate nearest neighbor searching in fixed dimensions. Journal of the ACM 45 (1998) 891-923
4. Justin, M.: Spamassassin public corpus (2003) Accessed 27/02/04.
5. Sakkis, G., Androutsopoulos, L, Paliouras, G., Karkaletsis, V., Spyropoulos, C., Stamatopoulos, P.: Ling-spam - from a memory-based approach to anti-spam filtering for mailing lists. Information Retrieval 6 (2003) 49-73
6. Group, P.: The portland spam automatic mail-filtering project (2003) Accessed 02/03/04.
7. Jones, R.W.M.: Annexia great spam archive (2003) Accessed 27/02/04.
8. Quinlan, J.R.: C4.5, Programs For Machine Learning. Morgan Kaufmann, California (1993)