| dc.contributor.author |
Poulose Jacob,K |
|
| dc.contributor.author |
Supriya, M H |
|
| dc.contributor.author |
Liny, Varghese |
|
| dc.date.accessioned |
2014-06-13T06:11:33Z |
|
| dc.date.available |
2014-06-13T06:11:33Z |
|
| dc.date.issued |
2012-06 |
|
| dc.identifier.uri |
http://dyuthi.cusat.ac.in/purl/3915 |
|
| dc.description |
International Journal of Computer Science and Communication Vol. 3, No. 1, January-June 2012, pp. 81-84 |
en_US |
| dc.description.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 |
en_US |
| dc.description.sponsorship |
Cochin University of Science and Technology |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
International Journal of Computer Science and Communication |
en_US |
| dc.subject |
Spam filtering |
en_US |
| dc.subject |
Naïve Bayes |
en_US |
| dc.subject |
Bernoulli model |
en_US |
| dc.title |
FEATURE SELECTION AND COMPARISON OF TWO NAÏVE BAYES CLASSIFICATION METHODS IN THE CONTEXT OF SPAM FILTERING |
en_US |
| dc.type |
Article |
en_US |