Earticle

초록

영어

Data mining technologies have been effectively applied to public security organizations and could help with the investigations. Among which, discovering and fighting against the gangs of criminals helps to the construction of peaceful and united environment. In this paper, we focus on the problem of discovering the gangs of criminals by integrating multiple data sources including the residential profiles from the public security bureau, the transfer data of banking accounts, the communication data from telecommunication operators, and the social interaction data from social networks. After employing a label propagation based method to discover communities in the criminal network, members within each group are ranked by their significance. Experiments exhibit the performance of proposed method.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Proposed Method
  3.1. Constructing Social Network Graph
  3.2. Detecting Potential Gangs
  3.3. Identifying Key Members within Gangs
 4. Experiment
  4.1. Data Preparation
  4.2. Evaluation Metrics
  4.3. Experimental Results
 5. Conclusion 
 References

키워드

저자

• Yang Jie [ Modern Educational Technology Center, Zhengzhou University of Light Industry, Zhengzhou, Henan, China ]
• Wang Huadong [ Modern Educational Technology Center, Zhengzhou University of Light Industry, Zhengzhou, Henan, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605