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CEAS
2004
Springer
14 years 1 months ago
Filtron: A Learning-Based Anti-Spam Filter
Abstract. We present Filtron, a prototype anti-spam filter that integrates the main empirical conclusions of our comprehensive analysis on using machine learning to construct eff...
Eirinaios Michelakis, Ion Androutsopoulos, Georgio...
NDSS
2003
IEEE
14 years 28 days ago
Fighting Spam by Encapsulating Policy in Email Addresses
Everyday network interactions require users to give out their email address, yet no guarantees can be made about how this address will be used. Sometimes the address is given to a...
John Ioannidis
AI
2007
Springer
14 years 1 months ago
Constructing a User Preference Ontology for Anti-spam Mail Systems
The judgment that whether an email is spam or non-spam may vary from person to person. Different individuals can have totally different responses to the same email based on their p...
Jongwan Kim, Dejing Dou, Haishan Liu, Donghwi Kwak
KDD
2005
ACM
158views Data Mining» more  KDD 2005»
14 years 8 months ago
Adversarial learning
Many classification tasks, such as spam filtering, intrusion detection, and terrorism detection, are complicated by an adversary who wishes to avoid detection. Previous work on ad...
Daniel Lowd, Christopher Meek
HT
2009
ACM
14 years 2 months ago
Hyperincident connected components of tagging networks
Data created by social bookmarking systems can be described as 3-partite 3-uniform hypergraphs connecting documents, users, and tags (tagging networks), such that the toolbox of c...
Nicolas Neubauer, Klaus Obermayer