Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

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Study Minimum Risk Spam Filter Algorithm Based on Cognition-learning

Authors
Qingmei Lu, Hongmin Liu
Corresponding Author
Qingmei Lu
Available Online May 2014.
DOI
10.2991/iccia.2012.453How to use a DOI?
Keywords
Minimum Risk, Cognition-learning, Bayesian
Abstract

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.

Copyright
© 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/).

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<Previous Article In Volume
Volume Title
Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
10.2991/iccia.2012.453
ISSN
1951-6851
DOI
10.2991/iccia.2012.453How to use a DOI?
Copyright
© 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

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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  -