An Evidential Spam-Filtering Framework
Author:
Publisher
Informa UK Limited
Subject
Artificial Intelligence,Information Systems,Software
Link
http://www.tandfonline.com/doi/pdf/10.1080/01969722.2016.1182351
Reference40 articles.
1. Androutsopoulos, I., J. Koutsias, K. V. Chandrinos, and C. D. Spyropoulos. 2000. An experimental comparison of naive bayesian and keyword-based anti-spam filtering with personal e-mail messages.Proceedings of the 23rd annual international ACM SIGIR conference on research and development in information retrieval160–167. New York: ACM.
2. Tightening the net: A review of current and next generation spam filtering tools
3. FUZZY SENSOR FUSION BASED ON EVIDENCE THEORY AND ITS APPLICATION
4. MailRank
5. On Effective E-mail Classification via Neural Networks
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