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AIR
2005
119views more  AIR 2005»
9 years 7 months ago
An Assessment of Case-Based Reasoning for Spam Filtering
Because of the changing nature of spam, a spam filtering system that uses machine learning will need to be dynamic. This suggests that a case-based (memory-based) approach may work...
Sarah Jane Delany, Padraig Cunningham, Lorcan Coyl...
MCS
2010
Springer
9 years 10 months ago
Multiple Classifier Systems under Attack
Abstract. In adversarial classification tasks like spam filtering, intrusion detection in computer networks and biometric authentication, a pattern recognition system must not only...
Battista Biggio, Giorgio Fumera, Fabio Roli
CEAS
2008
Springer
9 years 10 months ago
Filtering Email Spam in the Presence of Noisy User Feedback
Recent email spam filtering evaluations, such as those conducted at TREC, have shown that near-perfect filtering results are attained with a variety of machine learning methods wh...
D. Sculley, Gordon V. Cormack
FLAIRS
2008
9 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
CEAS
2006
Springer
9 years 11 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
ELPUB
2007
ACM
9 years 12 months ago
The Fight against Spam - A Machine Learning Approach
The paper presents a brief survey of the fight between spammers and antispam software developers, and also describes new approaches to spam filtering. In the first two sections we...
Karel Jezek, Jiri Hynek
CHINZ
2007
ACM
9 years 12 months ago
Users dealing with spam and spam filters: some observations and recommendations
The email communication system is threatened by unsolicited commercial email aka spam. In response, spam filters have been deployed widely to help reduce the amount of spam users ...
Christopher Lueg, Sam Martin
CEAS
2007
Springer
9 years 12 months ago
Online Active Learning Methods for Fast Label-Efficient Spam Filtering
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
D. Sculley
WEBI
2007
Springer
10 years 2 months ago
PSSF: A Novel Statistical Approach for Personalized Service-side Spam Filtering
The volume of spam e-mails has grown rapidly in the last two years resulting in increasing costs to users, network operators, and e-mail service providers (ESPs). E-mail users dem...
Khurum Nazir Junejo, Asim Karim
HICSS
2007
IEEE
117views Biometrics» more  HICSS 2007»
10 years 2 months ago
A Cluster-based Approach to Filtering Spam under Skewed Class Distributions
The purpose of this research is to propose an appropriate classification approach to improving the effectiveness of spam filtering on the issue of skewed class distributions. A cl...
Wen-Feng Hsiao, Te-Ming Chang, Guo-Hsin Hu
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