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Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

Data Mining and Risk Early-warning Analysis of Social Security

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DOI: 10.25236/icemit.2018.285

Author(s)

Wang Xu

Corresponding Author

Wang Xu

Abstract

It is a hot and difficult problem to predict the risk of community security in a region at present. It is simple and feasible for the grass-roots supervision department to evaluate the unqualified rate of the community safety in the jurisdiction. However, this method cannot well reflect the changing trend of risk factors in some communities in a certain area. To compensate for this shortcoming, this paper attempts to build a community risk coefficient evaluation system. From the perspective of evaluation objects and supervision, the community risk factor evaluation system analyzes and discusses the connotation of community security, the types of the hazard factors in the community and the relationship between the impact of the community security and the community security. On this basis, the construction principle, index system and calculation method of community risk coefficient are put forward, and the community risk coefficient is constructed, which is simple, objective and maneuverable; based on community risk coefficient, it combines the prediction function of BP artificial neural network model to the data trend, and applies the community risk coefficient to various societies successfully. The area, the safety trend prediction and early warning of all kinds of parameters are to be tested, to provide scientific theoretical basis for the grass-roots community safety supervision.

Keywords

Public Security, Data Mining, Risk, Risk Early-Warning.