Electronic Engineering and Information Science

409

Electronic Engineering and Information Science – Wang (Ed.)

© 2015 Taylor & Francis Group, London, ISBN: 978-1-138-02772-5

Spam filtering based on AdaBoost and active learning methods

X.Y. Liu & J.H. Liu

College of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China

ABSTRACT: In this paper, a new method is proposed to enhance the spam filtering performance. In the spam

filter of the past, an over-fitting situation occurs frequently. AdaBoost method is used to solve the problem, and

through the weighted weak classifier finally improves the classification performance. We select a suitable mod-

el as a weaker classifier to solve different data. Labeling samples require high cost in spam filtering. In order ...