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» Email classification with co-training
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CEAS
2004
Springer
14 years 1 months ago
SpamBayes: Effective open-source, Bayesian based, email classification system
This paper introduces the SpamBayes classification engine and outlines the most important features and techniques which contribute to its success. The importance of using the indet...
Tony A. Meyer, Brendon Whateley
WETICE
2005
IEEE
14 years 2 months ago
CAFE - Collaborative Agents for Filtering E-mails
CAFE (Collaborative Agents for Filtering E-mails) is a multi-agent system to collaboratively filter spam from users’ mail stream. CAFE associates a proxy agent with each user, a...
Lorenzo Lazzari, Marco Mari, Agostino Poggi
CASCON
2001
148views Education» more  CASCON 2001»
13 years 10 months ago
Email classification with co-training
The main problems in text classification are lack of labeled data, as well as the cost of labeling the unlabeled data. We address these problems by exploring co-training - an algo...
Svetlana Kiritchenko, Stan Matwin
COOPIS
2003
IEEE
14 years 1 months ago
Automatic Expansion of Manual Email Classifications Based on Text Analysis
The organization of documents is a task that we face as computer users daily. This is particularly true for management of email. Typically email documents are organized in director...
Enrico Giacoletto, Karl Aberer
WEBI
2004
Springer
14 years 1 months ago
Co-training with a Single Natural Feature Set Applied to Email Classification
When dealing with information overload from the Internet, such as the classification of Web pages and the filtering of email spam, a new technique called cotraining has been shown...
Jason Chan, Irena Koprinska, Josiah Poon