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基于Probit的犯罪嫌疑人判定方法研究

Keywords: 犯罪嫌疑人判定,Probit模型,聚类,犯罪风险判定

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Abstract:

为了在涉案人群中实现计算机识别犯罪嫌疑人,协助办案并提高办案效率,提出了一种基于Probit模型的犯罪嫌疑人判定技术.采用聚类的分离算法、关联算法以及Probit模型的显著性水平参数发现重要属性,通过对重要属性提取后的数据进行训练得到犯罪风险判定模型.实验结果表明,该方法对嫌疑人判定的平均准确率达到90.5%,平均查全率达到92.7%,判定效果较好.

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