On the effects of class noise on spam detection accuracy
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-m...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Book Section |
| Published: |
Penerbit UTM
2007
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/13679/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Teknologi Malaysia |
| id |
my.utm.13679 |
|---|---|
| record_format |
eprints |
| spelling |
my.utm.136792017-10-08T01:15:49Z http://eprints.utm.my/id/eprint/13679/ On the effects of class noise on spam detection accuracy Marsono, Muhammad Nadzir M. E. Rafiq, A. Newaz ElKharashi, Mohamed Watheq Gebali, Farez TK Electrical engineering. Electronics Nuclear engineering 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 Penerbit UTM 2007 Book Section PeerReviewed Marsono, Muhammad Nadzir and M. E. Rafiq, A. Newaz and ElKharashi, Mohamed Watheq and Gebali, Farez (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 |
| institution |
Universiti Teknologi Malaysia |
| building |
UTM Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Malaysia |
| content_source |
UTM Institutional Repository |
| url_provider |
http://eprints.utm.my/ |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Marsono, Muhammad Nadzir M. E. Rafiq, A. Newaz ElKharashi, Mohamed Watheq Gebali, Farez On the effects of class noise on spam detection accuracy |
| description |
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 |
| format |
Book Section |
| author |
Marsono, Muhammad Nadzir M. E. Rafiq, A. Newaz ElKharashi, Mohamed Watheq Gebali, Farez |
| author_facet |
Marsono, Muhammad Nadzir M. E. Rafiq, A. Newaz ElKharashi, Mohamed Watheq Gebali, Farez |
| author_sort |
Marsono, Muhammad Nadzir |
| title |
On the effects of class noise on spam detection accuracy |
| title_short |
On the effects of class noise on spam detection accuracy |
| title_full |
On the effects of class noise on spam detection accuracy |
| title_fullStr |
On the effects of class noise on spam detection accuracy |
| title_full_unstemmed |
On the effects of class noise on spam detection accuracy |
| title_sort |
on the effects of class noise on spam detection accuracy |
| publisher |
Penerbit UTM |
| publishDate |
2007 |
| url |
http://eprints.utm.my/id/eprint/13679/ |
| _version_ |
1643646252302204928 |