T. Kumaresan, S. SanjuShree, K. Suhasini, C. Palanisamy, Bannari Amman Institute of Technology, Sathyamangalam, TamilNadu, India.
DOI : 01.0401/ijaict.2014.07.02
International Journal of Advanced Information and Communication Technology
Received On : June 07, 2016
Revised On : July 16, 2016
Accepted On : August 14, 2016
Published On : September 05, 2016
Volume 03, Issue 09
Pages : 548-551
Abstract
Spam is an unsolicited bulk mail. Due to increased communication within shorter duration and for longer distance and fastest medium email is considered. Now a day’s spam became a big problem of internet and electronic communication. There are several techniques developed to solve the problem and to fight with them. There are many spam filters used to filter the spam from the received mail. In this paper the overview of machine learning algorithms like Bayesian classification, k-NN, ANN and SVM and their applicability are described. The performance of various algorithms are compared on the spam corpus are evaluated.
Keywords
E-Mail Classification, Machine Learning Algorithms and Spam. I.INTRO
Cite this article
T. Kumaresan, S. SanjuShree, K. Suhasini, C. Palanisamy, “Machine Learning Algorithms used in Spam Filtering – A Study” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.548-551, September 05, 2016.
Copyright
© 2016 T. Kumaresan, S. SanjuShree, K. Suhasini, C. Palanisamy. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.