CAJ | 학술논문

提出了一种基于关系数据模型的犯罪网络挖掘方法，基于侦查办案分析需求，建立关系数据模型生成犯罪网络，运用该模型可挖掘已知嫌疑人的其他团伙成员，也可在未知嫌疑人的条件下生成所有的犯罪网络，具有共同对象的不同模型还可组合进行跨模型网络挖掘。利用为期半年的通话与转账数据作为数据源进行实验，实验结果表明，文中模型不仅可以直观准确地实现已知嫌疑人和未知嫌疑人的犯罪网络挖掘，还可通过不同模型的组合应用深度挖掘犯罪团伙关系。
제출료일충기우관계수거모형적범죄망락알굴방법，기우정사판안분석수구，건립관계수거모형생성범죄망락，운용해모형가알굴이지혐의인적기타단화성원，야가재미지혐의인적조건하생성소유적범죄망락，구유공동대상적불동모형환가조합진행과모형망락알굴。이용위기반년적통화여전장수거작위수거원진행실험，실험결과표명，문중모형불부가이직관준학지실현이지혐의인화미지혐의인적범죄망락알굴，환가통과불동모형적조합응용심도알굴범죄단화관계。
In order to uncover the criminal gang,an approach of Crime Network Analysis based on asso-ciation data model is proposed.The proposed method can discover all the members of a gang when a cer-tain member is known,and it can also generate all the gangs based on known data source even none of the members are known.Especially,different models can be combined together to excavate the crime net-work.Experiments are executed based on the data of“communication”and “transfer”during 6 months. The results show that the proposed algorithm can demonstrate criminal gang no matter its members are known or not,and the same occurs as combining different models.