NDLI: Email classifier: An ensemble using probability and rules

Content Provider	IEEE Xplore Digital Library
Author	Chharia, A. Gupta, R.K.
Copyright Year	2013
Description	Author affiliation: Dept. of CSE & IT, Madhav Inst. of Technol. & Sci., Gwalior, India (Chharia, A.; Gupta, R.K.)
Abstract	On a low cost and effective communication via internet using emails, spam mails have come up as a dark spot. Many researchers have proposed a solution to this spam problem by using one classifier or combining more than one classifier. The latter has proved to be much more efficient than the individual classifiers. In this paper, we propose an elementary classifier combination, diversified both by features set and different classifiers. The proposed ensemble combines multiple classifiers in four levels such that a test set given to each classifier depends on the previous level's classifier results. Also, the proposed scheme uses meta-learning technique. The ultimate decision is made using the classifiers prediction, their probability of prediction and some combining rules to classify legitimate and spam mails more precisely. We evaluate the performance of our scheme in terms of accuracy, precision, recall, F1 score and ROC curve. All of these performance measure shows that our scheme is more accurate than individual classifiers.
Starting Page	130
Ending Page	136
File Size	1012125
Page Count	7
File Format	PDF
e-ISBN	9781479901920
DOI	10.1109/IC3.2013.6612176
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-08
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Meta-learning Classification Ensemble Combining rules Feature extraction Electronic mail Niobium Bagging Postal services Testing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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