Learning to classify e-mail

• Main Authors: KOPRINSKA, Irena, POON, Josiah, CLARK, James, CHAN, Jason Yuk Hin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2007
• Subjects: e-mail classification into folders; spam e-mail filtering; random forest; co-training; machine learning; Databases and Information Systems
• Online Access: 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
• Institution: Singapore Management University

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...