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CEAS
2006
Springer
15 years 3 months ago
An Adaptive, Semi-Structured Language Model Approach to Spam Filtering on a New Corpus
Motivated by current efforts to construct more realistic spam filtering experimental corpora, we present a newly assembled, publicly available corpus of genuine and unsolicited (s...
Ben Medlock
ADMA
2009
Springer
246views Data Mining» more  ADMA 2009»
15 years 6 months ago
Semi Supervised Image Spam Hunter: A Regularized Discriminant EM Approach
Image spam is a new trend in the family of email spams. The new image spams employ a variety of image processing technologies to create random noises. In this paper, we propose a s...
Yan Gao, Ming Yang, Alok N. Choudhary
ECRIME
2007
15 years 3 months ago
A comparison of machine learning techniques for phishing detection
There are many applications available for phishing detection. However, unlike predicting spam, there are only few studies that compare machine learning techniques in predicting ph...
Saeed Abu-Nimeh, Dario Nappa, Xinlei Wang, Suku Na...
ICIP
2005
IEEE
16 years 1 months ago
Using visual features for anti-spam filtering
Unsolicited Commercial Email (UCE), also known as spam, has been a major problem on the Internet. In the past, researchers have addressed this problem as a text classification or ...
Ching-Tung Wu, Kwang-Ting Cheng, Qiang Zhu, Yi-Leh...
CHI
2008
ACM
16 years 3 days ago
Keeping in touch by technology: maintaining friendships after a residential move
Many observers have praised new communication technologies for providing convenient and affordable tools for maintaining relationships at a distance. Yet the precise role of media...
Irina Shklovski, Robert E. Kraut, Jonathon N. Cumm...