基于共犯网络结构的有组织犯罪集团挖掘方法

Ming method of organized crime based on co-offending networks

有组织犯罪集团挖掘是目前数据挖掘技术研究的热点,利用共犯网络结构提出一种新的有组织犯罪集团挖掘的方法。该方法能从大型真实犯罪数据集获取有组织犯罪集团信息,提高了有组织犯罪集团检测效率。实验结果表明,该方法能分析出有组织犯罪集团特征演变轨迹,对挖掘有组织犯罪集团证据可行、有效。

Organized＇ crime group mining is a hot spot in the current data mining technology, so this paper proposed a new method of organized crime group mining using co-offending networks analysis methods. The method can improve the efficiency of the organized crime detection for extracting information from large real-life crime datasets. Experiments show that this method can analyze the evolution characteristics of organized crime group, effectively excavate organized crime evidence.