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A semi-supervised spam mail detector

Abstract
This document describes a novel semi-supervised approach to spam classification, which was successful at the ECML/PKDD 2006 spam classification challenge. A local learning method based on lazy projections was successfully combined with a variant of a standard semi-supervised learning algorithm.
Type
Conference Contribution
Type of thesis
Series
Citation
Pfahringer, B. (2006). A semi-supervised spam mail detector. In Proceedings of the ECML/PKDD 2006 Discovery Challenge Workshop, September 18-22, Berlin, Germany.
Date
2006
Publisher
Degree
Supervisors
Rights
This article has been published in the Proceedings of the ECML/PKDD 2006 Discovery Challenge Workshop, September 18-22, Berlin, Germany. Used with permission.