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KDD
2005
ACM
161views Data Mining» more  KDD 2005»
14 years 8 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
HICSS
2007
IEEE
111views Biometrics» more  HICSS 2007»
14 years 1 months ago
Genre, Narrative and the "Nigerian Letter" in Electronic Mail
Spam, or unsolicited email, has become an unavoidable fact of life for anyone with an email account. Spam emails generally reflect genres seen in traditional print format such as ...
Wendy L. Cukier, Eva J. Nesselroth, Susan Cody
CNSR
2004
IEEE
124views Communications» more  CNSR 2004»
13 years 11 months ago
Adaptive Filtering of SPAM
In this paper, we present a new spam filter which acts as an additional layer in the spam filtering process. This filter is based on what we call a representative vocabulary. Spam...
L. Pelletier, Jalal Almhana, Vartan Choulakian
FLAIRS
2008
13 years 10 months ago
On Using SVM and Kolmogorov Complexity for Spam Filtering
As a side effect of e-marketing strategy the number of spam e-mails is rocketing, the time and cost needed to deal with spam as well. Spam filtering is one of the most difficult t...
Sihem Belabbes, Gilles Richard
JNW
2008
167views more  JNW 2008»
13 years 7 months ago
Analyzing the ENRON Communication Network Using Agent-Based Simulation
Agent-based modeling, simulation, and network analysis approaches are one of the emergent techniques among soft computing literature. This paper presents an agent-based model for a...
Shinako Matsuyama, Takao Terano