Spam detection using hybrid of artificial neural network and genetic algorithm

Spam detection is a significant problem which is considered by many researchers by various developed strategies. In this study, the popular performance measure is a classification accuracy which deals with false positive, false negative and accuracy. These metrics were evaluated under applying two s...

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Bibliographic Details
Main Author: Arram, Anas W. A.
Format: Thesis
Language:English
Published: 2013
Subjects:
Online Access:http://eprints.utm.my/id/eprint/37019/5/AnasWAArramMFSKSM2013.pdf
http://eprints.utm.my/id/eprint/37019/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:70098?site_name=Restricted Repository
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Institution: Universiti Teknologi Malaysia
Language: English

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