A Risk Early Warning Method for High-risk Groups of Social Security Based on Support Vector Machine

Abstract

Abstract:

With the rapid development of economy and mobility of population, public security has been facing new challenges. To timely deal with the complicated and changing risk of public security, a key step is to improve the ability of risk early warning of potentially high-risk groups. In this paper we use support vector machine (SVM) algorithm to build a risk early warning model, which shows a cer-tain guiding significance to an effective early-warning on high-risk groups.

Key words: high-risk groups, public security, risk early warning, support vector machine

Zhang Qiang, He Leping. A Risk Early Warning Method for High-risk Groups of Social Security Based on Support Vector Machine[J]. , 2016, 28(11): 245-251.

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