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SIGSOFT
2007
ACM
14 years 7 months ago
Training on errors experiment to detect fault-prone software modules by spam filter
The fault-prone module detection in source code is of importance for assurance of software quality. Most of previous fault-prone detection approaches are based on software metrics...
Osamu Mizuno, Tohru Kikuno
HAIS
2011
Springer
12 years 10 months ago
Clustering Ensemble for Spam Filtering
One of the main problems that modern e-mail systems face is the management of the high degree of spam or junk mail they recieve. Those systems are expected to be able to distinguis...
Santiago Porras, Bruno Baruque, Belén Vaque...
CISC
2005
Springer
109views Cryptology» more  CISC 2005»
14 years 15 days ago
Enforcing Email Addresses Privacy Using Tokens
We propose a system which allows users to monitor how their email addresses are used and how they spread over the Internet. This protects the privacy of the user and can reduce the...
Roman Schlegel, Serge Vaudenay
ACSAC
2006
IEEE
14 years 1 months ago
Enhancing Collaborative Spam Detection with Bloom Filters
Signature-based collaborative spam detection (SCSD) systems provide a promising solution addressing many problems facing statistical spam filters, the most widely adopted technol...
Jeff Yan, Pook Leong Cho
PKDD
2004
Springer
168views Data Mining» more  PKDD 2004»
14 years 9 days ago
Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering
Spam filtering is a text categorization task that has attracted significant attention due to the increasingly huge amounts of junk email on the Internet. While current best-pract...
Christian Siefkes, Fidelis Assis, Shalendra Chhabr...