Email classification with temporal features

DOIResolve DOI: http://doi.org/10.1007/978-3-540-39985-8_61
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TypeBook Chapter
Book titleIntelligent Information Processing and Web Mining
ISBN978-3-540-21331-4
978-3-540-39985-8
Pages523533
AbstractWe propose a novel solution to the email classification problem: the integration of temporal information with the traditional content-based classification approaches. We discover temporal relations in an email sequence in the form of temporal sequential patterns and embed the discovered information into contentbased learning methods. The new heterogeneous classification system shows a good performance reducing the classification error by up to 22%.
Publication date
PublisherSpringer
LanguageEnglish
AffiliationNational Research Council Canada
Peer reviewedYes
NRC publication
This is a non-NRC publication

"Non-NRC publications" are publications authored by NRC employees prior to their employment by NRC.

NPARC number23001917
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Record identifier4330003e-496e-4747-891e-cb1846b67089
Record created2017-05-24
Record modified2017-05-24
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