会议论文

Zhang, Xiaoyong

英文

2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP)

2375-933X

2018

301-307

IEEE International Conference on Big Data and Smart Computing (BigComp)

International Conference on Big Data and Smart Computing

JAN 15-17, 2018

Shanghai, PEOPLES R CHINA

[Wang, Shengnan;Zhang, Xiaoyong;Cheng, Yijun;Jiang, Fu;Peng, Jun] Cent S Univ, Sch Informat Sci & Engn, Changsha 410075, Hunan, Peoples R China.^[Wang, Shengnan;Zhang, Xiaoyong;Cheng, Yijun;Jiang, Fu;Yu, Wentao;Peng, Jun] Hunan Engn Lab Rail Vehicles Braking Technol, Changsha 410075, Hunan, Peoples R China.^[Yu, Wentao] Cent South Univ Forestry & Technol, Sch Comp & Informat Engn, Changsha 410004, Hunan, Peoples R China.

IEEE, IEEE Comp Soc, Korean Inst Informat Scientists & Engineers

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-5386-3649-7

10.1109/BigComp.2018.00051

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61772558, 61379111, 61672537, 61672539, 61402538, 61403424, 61502055, 61503048, 61602529]; Planned Science and Technology Project of Hunan Province [2016GK2003]

本校为其他机构

Nowadays, spam is pervasive in the mailbox, and not only caused a waste of network resources, but also brings a lot of trouble to people's daily life. How to filter spam quickly and accurately is a challenge we are facing. For handling this challenge, this paper proposes a fast content-based spam filtering algorithm with fuzzy-SVM and k-means. First, K-means clustering algorithm is used to compress data with retain most of the effective information. Then, fuzzy support vector machine is used to train classification model, in order to deal with uncertain factors better. The experimental results...