A Review of Feature Extraction Optimization in SMS Spam Messages Classification-Reference-Cited by-同舟云学术

A Review of Feature Extraction Optimization in SMS Spam Messages Classification

Published:2016 Issue: Volume: Page:158-170
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Zainal Kamahazira,Jali Mohd Zalisham

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-2777-2_14

Reference58 articles.

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2. Sethi, G., Bhootna, V.: SMS spam filtering application using Android. Int. J. Comput. Sci. Inf. Technol. (IJCSIT) 5(3), 4624–4626 (2014)

3. Uysal, A.K., Gunal, S., Ergin, S., Gunal, E.S.: The impact of feature extraction and selection on SMS spam filtering. IEEE 19(5), 67–72 (2013)

4. Gudkova, D.: Kaspersky Security Bulletin-Spam Evolution 2013 (2013)

5. Gohring, N.: Handful of Spam. Newsfront (2001)

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