Fuzzy granular classifier approach for spam detection
Spam email problem is a major shortcoming of email technology for computer security. In this research, a granular classifier model is proposed to discover hyper-boxes in the geometry of information granules for spam detection in three steps. In the first step, the k-means clustering algorithm is app...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
IOS Press
2017
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/81308/ http://dx.doi.org/10.3233/JIFS-169133 |
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