Performance Evaluation for Different Classification Techniques of Spam Mail using Weka |
Author(s): |
| C. Neelavathi , Gobi Arts & Science College; Dr.S.M.Jagatheesan, Gobi Arts & Science College |
Keywords: |
| Data Mining, Spam Mail, Weka, Classification Algorithm, Filter and Random Tree |
Abstract |
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Data mining is process of discovering new knowledge from database. Email is one of the essential factor of data communication. Spam emails are emails that the receiver does not wish to receive. Spam email is causing series problems for internet users, Internet service provider and the whole internet backbone network. In this work various spam email techniques are discussed. Using Spam email dataset Preprocessing and classification is workout in Weka Explorer. The dataset is taken from UCI repository. Multiple classification Techniques can be examined to get better result. By analyzing all these techniques, the Random Tree with Partition Membership Filter gives better Performance than others. Here Weka tool is used as a software tool to analyze result. |
Other Details |
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Paper ID: IJSRDV3I60301 Published in: Volume : 3, Issue : 6 Publication Date: 01/09/2015 Page(s): 511-514 |
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