Spam filtering using bayesian technique based on independent feature selection
Bayesian technique is one of the classification techniques which can be applied to a certain problem domain such as classification task. Therefore, this technique had been chosen to conduct a classification task with emails dataset where the emails are comprised of spam and non spam emails. Bayesian...
Saved in:
Main Author: | Mohamad, Masurah |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2006
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/4066/1/MasurahMohamadMFSKSM2006.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multistage feature selection methods for data classification
by: Mohamad, Masurah
Published: (2021) -
Improved scheme of e-mail spam classification using meta-heuristics feature selection and support vector machine
by: Elssied Hamed, Nadir Omer Fadl
Published: (2015) -
Hybrid approach for spam email detection
by: Syed Hamed, Syed Mohd. Anwar Alhabshi
Published: (2018) -
Spam detection with genetic optimized artificial immune system
by: Mehrsina, Alireza
Published: (2013) -
Spam detection using hybrid of artificial neural network and genetic algorithm
by: Arram, Anas W. A.
Published: (2013)