Sciweavers

17 search results - page 2 / 4
» On Using SVM and Kolmogorov Complexity for Spam Filtering
Sort
View
INCDM
2010
Springer
152views Data Mining» more  INCDM 2010»
13 years 8 months ago
Spam Email Filtering Using Network-Level Properties
Abstract. Spam is serious problem that affects email users (e.g. phishing attacks, viruses and time spent reading unwanted messages). We propose a novel spam email filtering appr...
Paulo Cortez, André Correia, Pedro Sousa, M...
ICIP
2005
IEEE
14 years 6 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...
SIGIR
2006
ACM
13 years 10 months ago
On-line spam filter fusion
We show that a set of independently developed spam filters may be combined in simple ways to provide substantially better filtering than any of the individual filters. The resu...
Thomas R. Lynam, Gordon V. Cormack, David R. Cheri...
CVPR
2010
IEEE
14 years 1 months ago
SVM for Edge-Preserving Filtering
In this paper, we propose a new method to construct an edge-preserving filter which has very similar response to the bilateral filter. The bilateral filter is a normalized convolu...
Qingxiong Yang, Shengnan Wang, Narendra Ahuja
PRL
2008
88views more  PRL 2008»
13 years 4 months ago
Time-efficient spam e-mail filtering using n-gram models
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...
Ali Çiltik, Tunga Güngör