Show simple item record

dc.contributor.authorDelany, Sarah Jane
dc.contributor.authorCunningham, Padraig
dc.date.accessioned2008-01-29T11:14:12Z
dc.date.available2008-01-29T11:14:12Z
dc.date.issued2006-02-10
dc.identifier.citationDelany, Sarah Jane; Cunningham, Padraig. 'ECUE: A Spam Filter that Uses Machine Learning to Track Concept Drift'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-2006-05, 2006, pp5en
dc.identifier.otherTCD-CS-2006-05
dc.identifier.urihttp://hdl.handle.net/2262/13506
dc.description.abstractWhile text classification has been identified for some time as a promising application area for Artificial Intelligence, so far few deployed applications have been described. In this paper we present a spam filtering system that uses example-based machine learning techniques to train a classifier from examples of spam and legitimate email. This approach has the advantage that it can personalise to the specifics of the user?s filtering preferences. This classifier can also automatically adjust over time to account for the changing nature of spam (and indeed changes in the profile of legitimate email). A significant software engineering challenge in developing this system was to ensure that it could interoperate with existing email systems to allow easy managment of the training data over time. This system has been deployed and evaluated over an extended period and the results of this evaluation are presented here.en
dc.format.extent199199 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherTrinity College Dublin, Department of Computer Scienceen
dc.relation.ispartofseriesComputer Science Technical Reporten
dc.relation.ispartofseriesTCD-CS-2006-05en
dc.relation.haspartTCD-CS-[no.]en
dc.subjectComputer Scienceen
dc.titleECUE: A Spam Filter that Uses Machine Learning to Track Concept Driften
dc.typeTechnical Reporten
dc.identifier.rssurihttps://www.cs.tcd.ie/publications/tech-reports/reports.06/TCD-CS-2006-05.pdf


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record