基于RSM分析的边疆少数民族犯罪风险识别及预警研究

Research on Risk Identification and Early Warning of Border Minority Crimes Based on RSM Analysis

本文在收集边疆少数民族犯罪案例的基础上,通过数据填补和完备。利用响应曲面(RSM)分析方法和C#实现了少数民族犯罪风险识别及预警研究。通过响应曲面(RSM)分析,进行建模,建立回归方程,并得出影响边疆少数民族犯罪的因素。将这些犯罪原因项设计成关键信息,利用这些信息,系统自动计算出该人的犯罪风险概率,在预先给定的阈值情况下,对该人进行预警判断。

Based on the collection of crimes committed by ethnic minorities in the border areas, this paper fills in and completes the data. Response surface (RSM) analysis method and C# are used to realize risk identification and early warning of ethnic minority crimes. Through response surface (RSM) analysis, modeling, regression equations are established, and the factors affecting minority crimes in border areas are obtained. These crime reason items are designed as key information. By inputting the relevant information of the relevant personnel, the system automatically calculates the probability of the person’s crime risk, and makes an early warning judgment on the person under a predetermined threshold.