Improved Method For Classification of Emails

Improved Method For Classification of Emails
Author(s):
Snehal Prakash Chaudhari, Gauri Shantaram Ikade, Nikita Balasaheb Dhumal, Rupali Ganesh Watamkar
ISSN:
2349-6002
Cite This Article:
Improved Method For Classification of Emails, International Journal of Innovative Research in Technology(www.ijirt.org) ,ISSN: 2349-6002 ,Volume 6 ,Issue 1 ,Page(s):5-11 ,May 2019 ,Available :IJIRT148246_PAPER.pdf
Keywords:
Email classification; graph mining algorithm; spam; email classifier
Abstract
This system proposed for a hybrid solution of spam email classifier using context based email classification model as main algorithm complimented by information gain calculation to increase spam classification accuracy and Machine Learning algorithms. Previous solution consists of three stages email pre-processing, feature extraction and email classification. We use Naives Bayesian classification and k-mean clustering algorithm to classify the data in the mails. The study has shown that implementing the spam filter in the context –based email classification model is feasible and can be improved.
Article Details
Unique Paper ID: 148246 Publication Volume & Issue: Volume 6, Issue 1 Page(s): 5 - 11
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International Journal of Innovative Research in Technology