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Issue No.06 - Nov.-Dec. (2012 vol.27)
pp: 44-51
Qian Xu , Baidu
Qiang Yang , Huawei Noah's Ark Lab
Jiachun Du , Huawei Technology
Jieping Zhong , Huawei Technology
ABSTRACT
Short Message Service text messages are indispensable, but they face a serious problem from spamming. This service-side solution uses graph data mining to distinguish spammers from nonspammers and detect spam without checking a message's contents.
INDEX TERMS
Support vector machines, Feature extraction, Classification algorithms, Electronic mail, Telecommunications, Short message services, Unsolicited electronic mail, data mining, Support vector machines, Feature extraction, Classification algorithms, Electronic mail, Telecommunications, Short message services, Unsolicited electronic mail, Short Message Service, spam detection, SMS spam, social media spam
CITATION
Qian Xu, Evan Wei Xiang, Qiang Yang, Jiachun Du, Jieping Zhong, "SMS Spam Detection Using Noncontent Features", IEEE Intelligent Systems, vol.27, no. 6, pp. 44-51, Nov.-Dec. 2012, doi:10.1109/MIS.2012.3
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