Referenced Items are not available for this document.
Many different techniques have been employed to analyze spam emails. The paper explores two main semantic methods: Bayesian algorithms and Support Vector Machine (SVM). More recent spam filters are introduced in the paper. They all utilize semantic analysis information to determine whether a message is spam.
Published in:
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
(Volume:6
)
Date of Conference: 10-12 Aug. 2010
- Page(s):
- 2914 - 2917
- Print ISBN:
- 978-1-4244-5931-5
- INSPEC Accession Number:
- 11526390
- Conference Location :
- Yantai, Shandong
- Digital Object Identifier :
- 10.1109/FSKD.2010.5569277
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
