Asymmetric gradient boosting with application to spam filtering

Jingrui He, Bo Thiesson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

In this paper, we propose a new asymmetric boosting method, Boosting with Different Costs. Traditional boosting methods assume the same cost for misclassified instances from different classes, and in this way focus on good performance with respect to overall accuracy. Our method is more generic, and is designed to be more suitable for problems where the major concern is a low false positive (or negative) rate, such as spam filtering. Experimental results on a large scale email spam data set demonstrate the superiority of our method over state-of-the-art techniques.

Original languageEnglish (US)
Title of host publication4th Conference on Email and Anti-Spam, CEAS 2007
PublisherConference on Email and Anti-Spam, CEAS
StatePublished - 2007
Externally publishedYes
Event4th Conference on Email and Anti-Spam, CEAS 2007 - Mountain View, CA, United States
Duration: Aug 2 2007Aug 3 2007

Other

Other4th Conference on Email and Anti-Spam, CEAS 2007
CountryUnited States
CityMountain View, CA
Period8/2/078/3/07

ASJC Scopus subject areas

  • Software

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  • Cite this

    He, J., & Thiesson, B. (2007). Asymmetric gradient boosting with application to spam filtering. In 4th Conference on Email and Anti-Spam, CEAS 2007 Conference on Email and Anti-Spam, CEAS.