Performance Evaluation of Data Mining based Classifier for Classification of Spam E-Mail
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 4
Abstract
E-mail is one of the important and economical communication media to transfer the information from one person to others. Due to increase number of E-mails resulted drastic increases spam E-mail. In this research work, we have used various classification techniques to classification of spam E-mail and non spam E-mails. The experiment done in Tanagra data mining tool. We have recommended the Multilayer perceptron (MLP) as a best classifier for classification of spam which gives 93.15% accuracy with 10-fold cross validation.
Authors and Affiliations
Manish Kumar Sahu, A. K. Shrivastava
Keywords
Related Articles
- EP ID EP23919
- DOI http://doi.org/10.22214/ijraset.2017.4213
- Views 275
- Downloads 9
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