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» Spam, spam, spam, spam: how can we stop it
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ICCBR
2007
Springer
14 years 1 months ago
Catching the Drift: Using Feature-Free Case-Based Reasoning for Spam Filtering
In this paper, we compare case-based spam filters, focusing on their resilience to concept drift. In particular, we evaluate how to track concept drift using a case-based spam fi...
Sarah Jane Delany, Derek G. Bridge
CORR
2010
Springer
115views Education» more  CORR 2010»
13 years 4 months ago
Novel Mechanism to Defend DDoS Attacks Caused by Spam
Corporate mail services are designed to perform better than public mail services. Fast mail delivery, large size file transfer as an attachments, high level spam and virus protect...
Dhinaharan Nagamalai, Beatrice Cynthia Dhinakaran,...
AI
2010
Springer
14 years 10 days ago
A Three-Way Decision Approach to Email Spam Filtering
Many classification techniques used for identifying spam emails, treat spam filtering as a binary classification problem. That is, the incoming email is either spam or non-spam....
Bing Zhou, Yiyu Yao, Jigang Luo
CEAS
2004
Springer
14 years 28 days ago
Word Stemming to Enhance Spam Filtering
Generally a content based spam filter works on words and phrases of email text and if it finds offensive content it gives that email a numerical value (depending on the content). A...
Shabbir Ahmed, Farzana Mithun
CEAS
2011
Springer
12 years 7 months ago
Spam or ham?: characterizing and detecting fraudulent "not spam" reports in web mail systems
Web mail providers rely on users to “vote” to quickly and collaboratively identify spam messages. Unfortunately, spammers have begun to use bots to control large collections o...
Anirudh Ramachandran, Anirban Dasgupta, Nick Feams...