Many of the first successful applications of statistical learning to anti-spam filtering were personalized classifiers that were trained on an individual user’s spam and ham ...
Social networks are popular for online communities. This paper evaluates the risk of sophisticated context-aware spam that could result from information sharing on social networks...
Web spamming, the practice of introducing artificial text and links into web pages to affect the results of searches, has been recognized as a major problem for search engines. ...
In this paper, we propose spam e-mail filtering methods having high accuracies and low time complexities. The methods are based on the n-gram approach and a heuristics which is re...
The email volume per mailbox has largely remained low and unchanged in the past several decades, and hence mail server performance has largely remained a secondary issue. The stee...
Abhinav Pathak, Syed Ali Raza Jafri, Y. Charlie Hu