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ICMLA
2008
15 years 1 months ago
Highly Scalable SVM Modeling with Random Granulation for Spam Sender Detection
Spam sender detection based on email subject data is a complex large-scale text mining task. The dataset consists of email subject lines and the corresponding IP address of the em...
Yuchun Tang, Yuanchen He, Sven Krasser
78
Voted
ICC
2007
IEEE
125views Communications» more  ICC 2007»
15 years 6 months ago
Detecting SPIT Calls by Checking Human Communication Patterns
— SPam over Internet Telephony (SPIT) is expected to become a very serious issue in the next years. The threat is going to spin out from the well known email spam problem by bot ...
Jürgen Quittek, Saverio Niccolini, Sandra Tar...
CEAS
2005
Springer
15 years 5 months ago
Stopping Outgoing Spam by Examining Incoming Server Logs
Processing server logs for the email arriving at an ISP can be used to detect remote sites where machines are infected by email viruses or have been hijacked and used for sending ...
Richard Clayton
AIRWEB
2007
Springer
15 years 6 months ago
Web Spam Detection via Commercial Intent Analysis
András A. Benczúr, István B&i...