Learning to classify e-mail
In this paper we study supervised and semi-supervised classification of e-mails. We consider two tasks: filing e-mails into folders and spam e-mail filtering. Firstly, in a supervised learning setting, we investigate the use of random forest for automatic e-mail filing into folders and spam e-mail f...
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Main Authors: | , , , |
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格式: | text |
語言: | English |
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Institutional Knowledge at Singapore Management University
2007
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在線閱讀: | https://ink.library.smu.edu.sg/sis_research/7703 https://ink.library.smu.edu.sg/context/sis_research/article/8706/viewcontent/Learning_to_classify_e_mail.pdf |
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機構: | Singapore Management University |
語言: | English |