Universiti Teknologi Malaysia Institutional Repository

On the effects of class noise on spam detection accuracy

Marsono, M. N. and M. E. Rafiq, A. Newaz and ElKharashi, M. W. and Gebali, F. (2007) On the effects of class noise on spam detection accuracy. In: Advances In Digital Signal Processing Applications. Penerbit UTM , Johor, p. 173. ISBN 978-983-52-0652-8

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Abstract

Spam contributes to approximately two-thirds of the e-mail traffic over the Internet [9] and is fast becoming a major problem for IT users and network administrators. Spam costs billions in lost productivity [21] and results in more problems than mere annoyance of delayed and lost non-spam e-mails. Spam continuously evolves to circumvent spam control systems and is becoming much more sophisticated [13]. Naive Bayes classification has widely been used for spam detection and several variations have been proposed [1], [25], [11]. As other supervisedlearning techniques, its accuracy (for detecting spam) depends on the quality, quantity, and timeliness of the learning corpora

Item Type:Book Section
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:13679
Deposited By: Liza Porijo
Deposited On:15 Aug 2011 05:41
Last Modified:15 Aug 2011 05:41

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