|
Dyuthi @ CUSAT >
e-SCHOLARSHIP >
Computer Science >
Faculty >
Dr. K Poulose Jacob >
Please use this identifier to cite or link to this item:
http://purl.org/purl/3915
|
| Title: | FEATURE SELECTION AND COMPARISON OF TWO NAÏVE BAYES CLASSIFICATION METHODS IN THE CONTEXT OF SPAM FILTERING |
| Authors: | Poulose Jacob,K
Supriya, M H
Liny, Varghese |
| Keywords: | Spam filtering
Naïve Bayes
Bernoulli model |
| Issue Date: | Jun-2012 |
| Publisher: | International Journal of Computer Science and Communication |
| Abstract: | Treating e-mail filtering as a binary text classification problem, researchers have applied several statistical learning
algorithms to email corpora with promising results. This paper examines the performance of a Naive Bayes classifier
using different approaches to feature selection and tokenization on different email corpora |
| Description: | International Journal of Computer Science and Communication Vol. 3, No. 1, January-June 2012, pp. 81-84 |
| URI: | http://dyuthi.cusat.ac.in/purl/3915 |
| Appears in Collections: | Dr. K Poulose Jacob
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|
