Computer Science – Artificial Intelligence
Scientific paper
2008-12-04
Artificial Immune Systems: 7th International Conference, (ICARIS 2008). Bentley, Peter; Lee, Doheon; Jung, Sungwon (Eds.) Lect
Computer Science
Artificial Intelligence
Scientific paper
10.1007/978-3-540-85072-4_4
This paper proposes a novel solution to spam detection inspired by a model of the adaptive immune system known as the crossregulation model. We report on the testing of a preliminary algorithm on six e-mail corpora. We also compare our results statically and dynamically with those obtained by the Naive Bayes classifier and another binary classification method we developed previously for biomedical text-mining applications. We show that the cross-regulation model is competitive against those and thus promising as a bio-inspired algorithm for spam detection in particular, and binary classification in general.
Abi-Haidar Alaa
Rocha Luis M.
No associations
LandOfFree
Adaptive Spam Detection Inspired by a Cross-Regulation Model of Immune Dynamics: A Study of Concept Drift does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Adaptive Spam Detection Inspired by a Cross-Regulation Model of Immune Dynamics: A Study of Concept Drift, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Adaptive Spam Detection Inspired by a Cross-Regulation Model of Immune Dynamics: A Study of Concept Drift will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-364601