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A Method for a Crime Prediction by Estimating a Cell Value and A System for the Same

机译:一种估计单元格值的犯罪预测方法及其系统

摘要

The present invention relates to a method for predicting a crime using a cell value estimation method and a crime prediction system, and more particularly, to improve the accuracy of a big data-based crime prediction system using cell value estimation. To this end, the present invention provides a method for predicting a crime, comprising: forming a cell representing a target area for performing a crime prediction; Obtaining the crime rate information of the target cell based on the number of crime occurrences in the target cell; Collecting an item value for each cell of all cells by at least one predetermined statistical item; Obtaining an index value for each statistical item of the target cell by using a maximum item value, a minimum item value, and an item value of the target cell in each of the statistical items; Calculating a weight for an indicator value for each statistical item in the target cell, the weight being determined based on a relative ratio of the indicator value of the item to the sum of the indicator values for each item of the target cell; Estimating a value of the target cell based on a sum of weights using an indicator value and a weight of each statistical item of the target cell; Generating a crime risk of the target cell by combining the estimated value of the target cell and the crime rate information of the target cell; The present invention provides a method for predicting a crime using a cell value estimate and a crime prediction system using the method.
机译:本发明涉及一种使用单元值估计方法来预测犯罪的方法和犯罪预测系统,更具体地,涉及一种使用单元值估计来提高基于大数据的犯罪预测系统的准确性。为此,本发明提供一种用于预测犯罪的方法,包括:形成表示用于执行犯罪预测的目标区域的单元;根据目标小区内的犯罪发生次数,获取目标小区的犯罪率信息;通过至少一个预定的统计项为所有单元格中的每个单元格收集项值;通过使用每个统计项中目标单元格的最大值,最小值和目标值,获取目标单元格每个统计项的索引值;计算目标单元格中​​每个统计项目的指标值的权重,该权重是基于该项目的指标值与目标单元格中​​每个项目的指标值之和的相对比确定的;使用指标值和目标单元格的每个统计项的权重,基于权重之和来估计目标单元格的值;通过结合目标细胞的估计值和目标细胞的犯罪率信息,产生目标细胞的犯罪风险;本发明提供了一种使用单元格值估计来预测犯罪的方法以及使用该方法的犯罪预测系统。

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