Incremental learning for interactive e-mail filtering

Ding-Yi Chen, Xue Li, Zhao Yang Dong and Xia Chen (2009). Incremental learning for interactive e-mail filtering. In David Rine and Ghazi Alkhatib (Ed.), Agent technologies and web engineering: Applications and systems (pp. 134-152) Hershey, PA, U.S.A.: IGI Global. doi:10.4018/978-1-60566-618-1.ch008

Author Ding-Yi Chen
Xue Li
Zhao Yang Dong
Xia Chen
Title of chapter Incremental learning for interactive e-mail filtering
Title of book Agent technologies and web engineering: Applications and systems
Place of Publication Hershey, PA, U.S.A.
Publisher IGI Global
Publication Year 2009
Sub-type Research book chapter (original research)
DOI 10.4018/978-1-60566-618-1.ch008
Year available 2009
ISBN 9781605666181
Editor David Rine
Ghazi Alkhatib
Chapter number 8
Start page 134
End page 152
Total pages 19
Total chapters 15
Collection year 2010
Language eng
Subjects 080109 Pattern Recognition and Data Mining
890205 Information Processing Services (incl. Data Entry and Capture)
Abstract/Summary In this paper, we propose a framework namely, Prediction-Learning-Distillation (PLD) for interactive document classification and distilling the misclassified documents. Whenever a user points out misclassified documents, the PLD learns from the mistakes and identifies the same mistakes from all other classified documents. The PLD then enforces this learning for future classifications. If the classifier fails to accept relevant documents or reject irrelevant documents on certain categories, then PLD will assign those documents as new positive/negative training instances. The classifier can then strengthen its weakness by learning from these new training instances. Our experiments results have demonstrated that the proposed algorithm can learn from user identified misclassified documents, and then distil the rest successfully.
Keyword Interactive email classification
Q-Index Code B1
Q-Index Status Confirmed Code
Institutional Status UQ

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Created: Mon, 01 Mar 2010, 16:45:57 EST by Dr Xue Li on behalf of School of Information Technol and Elec Engineering