Study Minimum Risk Spam Filter Algorithm Based on Cognition-learning
- 10.2991/iccia.2012.453How to use a DOI?
- Minimum Risk, Cognition-learning, Bayesian
The thesis puts forward anti-spam model and deficiency on spam filter based on minimum risk, and of austerity algorithm and through the introduction of cognition learning. The experiment proves that the forward of the method increased the recognition percentage of the spams, especially solved the problems of the spam filter.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Qingmei Lu AU - Hongmin Liu PY - 2014/05 DA - 2014/05 TI - Study Minimum Risk Spam Filter Algorithm Based on Cognition-learning BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 1804 EP - 1807 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.453 DO - 10.2991/iccia.2012.453 ID - Lu2014/05 ER -