A Hybrid ACO Based Feature Selection Method for Email Spam Classification Email Spam Classification

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Abstract: In recent days, Internet plays a main role. Internet mail system is a store and forward mechanism used for the purpose of exchanging documents across computer network through Internet. Spam is an unwanted mail which contains unsolicited and harmful data that are irrelevant to the specified users. In the proposed system, spam classification is implemented using Support Vector Machine (SVM), a classifier, which is a powerful non linear classifier applicable for complex classification problems. The proposed system is analyzed by calculating its accuracy. Implementation of feature selection using Ant Colony Optimization (ACO) serves to be more efficient which gives good results for the above system that has been proposed in this paper.

WSEAS Transactions on Computers, ISSN / E-ISSN: 1109-2750 / 2224-2880, Volume 14, 2015, Art. #18

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Karthika Renuka D, Visalakshi P, "A Hybrid ACO Based Feature Selection Method for Email Spam Classification Email Spam Classification," WSEAS Transactions on Computers, vol. 14, pp. 171-177, 2015, DOI:
Karthika Renuka D, Visalakshi P. A Hybrid ACO Based Feature Selection Method for Email Spam Classification Email Spam Classification. WSEAS Transactions on Computers. 2015;14:171-177.
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