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...

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Main Author:	Mohamad, Masurah
Format:	Thesis
Language:	English
Published:	2006
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/4066/1/MasurahMohamadMFSKSM2006.pdf
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id	my-utm-ep.4066
record_format	uketd_dc
spelling	my-utm-ep.40662018-01-15T04:21:33Z Spam filtering using bayesian technique based on independent feature selection 2006-04 Mohamad, Masurah QA75 Electronic computers. Computer science 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 technique has been applied to observe whether it can produce a good result in spam emails classification or not. Beside, this project also applied Rough set as a comparison technique to classify the spam emails. The classification task is done based on the independent feature selection where only one most occurrence term for each email is chosen as an input to the Bayesian probability. Some of the measurement evaluation had been used to evaluate the classification performance. The measurements are precision, recall, sensitivity, specificity, accuracy and error rate. After the measurements process, these two technique were compared to identify which one of these two techniques is best in classifies spam emails based on the experimental results. The results show that Bayesian technique is good than Rough set technique in classifies spam emails. However the results also indicate that Rough set also suitable for spam filtering problem. Finally, some suggestions were being discussed so that this project can be improved in future work to get a better result compared to the current result which had been retrieved in this project. 2006-04 Thesis http://eprints.utm.my/id/eprint/4066/ http://eprints.utm.my/id/eprint/4066/1/MasurahMohamadMFSKSM2006.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Mohamad, Masurah Spam filtering using bayesian technique based on independent feature selection
description	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 technique has been applied to observe whether it can produce a good result in spam emails classification or not. Beside, this project also applied Rough set as a comparison technique to classify the spam emails. The classification task is done based on the independent feature selection where only one most occurrence term for each email is chosen as an input to the Bayesian probability. Some of the measurement evaluation had been used to evaluate the classification performance. The measurements are precision, recall, sensitivity, specificity, accuracy and error rate. After the measurements process, these two technique were compared to identify which one of these two techniques is best in classifies spam emails based on the experimental results. The results show that Bayesian technique is good than Rough set technique in classifies spam emails. However the results also indicate that Rough set also suitable for spam filtering problem. Finally, some suggestions were being discussed so that this project can be improved in future work to get a better result compared to the current result which had been retrieved in this project.
format	Thesis
qualification_level	Master's degree
author	Mohamad, Masurah
author_facet	Mohamad, Masurah
author_sort	Mohamad, Masurah
title	Spam filtering using bayesian technique based on independent feature selection
title_short	Spam filtering using bayesian technique based on independent feature selection
title_full	Spam filtering using bayesian technique based on independent feature selection
title_fullStr	Spam filtering using bayesian technique based on independent feature selection
title_full_unstemmed	Spam filtering using bayesian technique based on independent feature selection
title_sort	spam filtering using bayesian technique based on independent feature selection
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department	Faculty of Computer Science and Information System
publishDate	2006
url	http://eprints.utm.my/id/eprint/4066/1/MasurahMohamadMFSKSM2006.pdf
_version_	1747814492963602432

Spam filtering using bayesian technique based on independent feature selection

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