一种基于Spark/DBSCAN算法的城市公交扒窃行为分析方法

A city bus theft analysis method based on Spark/DBSCAN algorithm

随着中国城镇化进程的不断加速,城市公交扒窃行为给公民的生命财产安全构成极大的威胁,对社会风气造成了持续性的影响。研究中基于"犯罪行为是行为人主观意识对客观环境的反致行为"[1]这一理论,采用NLPIR汉语分词系统,整理以往城市公交扒窃行为数据,提取犯罪行为时间、位置数据,在Spark分布式计算框架下,利用DBSCAN算法做地理位置数据的聚类分析,发现造成犯罪反致行为[1]的客观环境和规律。通过改善客观环境,进而提高预防和控制犯罪行为的水平。

With the acceleration of China ＇s urbanization process,the city bus theft poses a great threat to people ＇s lives and property,resulting in a sustained effect on social climate. Based on ＂ crime is the revoni behavior of subjective consciousness and the objective environment ＂ [1] theory,using NLPIR Chinese word segmentation system,organizing the past city bus theft data,extracting time and position data of criminal behavior,in the framework of Spark distributed computing,DBSCAN algorithm is used to realize the clustering analysis of geographical location data,therefore discover the objective environment caused by criminal behavior and law of renvoi. By improving the objective environment,the level of preventing and controlling criminal behavior could be improved.