首页> 外文会议>International Workshop on Intelligence and Security Informatics(WISI 2006); 20060409; Singapore(SG) >VCCM Mining: Mining Virtual Community Core Members Based on Gene Expression Programming
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VCCM Mining: Mining Virtual Community Core Members Based on Gene Expression Programming

机译:VCCM挖掘:基于基因表达编程的虚拟社区核心成员挖掘

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Intelligence operation against the terrorist network has been studied extensively with the aim to mine the clues and traces of terrorists. The contributions of this paper include: (1) introducing a new approach to classify terrorists based on Gene Expression Programming (GEP); (2) analyzing the characteristics of the terrorist organization, and proposing an algorithm called Create Virtual Community (CVC) based on tree-structure to create a virtual community; (3) proposing a formal definition of Virtual Community (VC) and the VCCM Mining algorithm to mine the core members of a virtual community. Experimental results demonstrate the effectiveness of VCCM Mining.
机译:为了挖掘恐怖分子的线索和踪迹,对恐怖分子网络的情报行动进行了广泛的研究。本文的贡献包括:(1)介绍一种基于基因表达编程(GEP)的恐怖分子分类新方法; (2)分析恐怖组织的特征,提出一种基于树状结构的创建虚拟社区(Create Virtual Community,CVC)算法来创建虚拟社区; (3)提出了虚拟社区(VC)的正式定义和VCCM挖掘算法,以挖掘虚拟社区的核心成员。实验结果证明了VCCM Mining的有效性。

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