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Two Approaches on Implementation of CBR and CRM Technologies to the Spam Filtering Problem

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DOI: 10.4236/jis.2012.31002    3,517 Downloads   7,449 Views   Citations

ABSTRACT

Recently the number of undesirable messages coming to e-mail has strongly increased. As spam has changeable character the anti-spam systems should be trainable and dynamical. The machine learning technology is successfully applied in a filtration of e-mail from undesirable messages for a long time. In this paper it is offered to apply Case Based Reasoning technology to a spam filtering problem. The possibility of continuous updating of spam templates base on the bases of which new coming spam messages are compared, will raise efficiency of a filtration. Changing a combination of conditions it is possible to construct flexible filtration system adapted for different users or corporations. Also in this paper it is considered the second approach as implementation of CRM technology to spam filtration which is not applied to this area yet.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

R. Alguliyev and S. Nazirova, "Two Approaches on Implementation of CBR and CRM Technologies to the Spam Filtering Problem," Journal of Information Security, Vol. 3 No. 1, 2012, pp. 11-17. doi: 10.4236/jis.2012.31002.

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