首页> 外文会议>International Conference on Advanced Data Mining and Applications(ADMA 2007); 20070606-08; Harbin(CN) >How Investigative Data Mining Can Help Intelligence Agencies to Discover Dependence of Nodes in Terrorist Networks
【24h】

How Investigative Data Mining Can Help Intelligence Agencies to Discover Dependence of Nodes in Terrorist Networks

机译:调查性数据挖掘如何帮助情报机构发现恐怖主义网络中节点的依赖性

获取原文
获取原文并翻译 | 示例

摘要

A new model of dependence centrality is proposed. The centrality measure is based on shortest paths between the pair of nodes. We apply this measure with the demonstration of a small network example. The comparisons are made with betweenness centrality. We discuss how intelligence investigation agencies could benefit from the proposed measure. In addition to that we argue about the investigative data mining techniques we are using, and a comparison is provided with traditional data mining techniques.
机译:提出了一种新的依赖中心模型。中心度度量基于一对节点之间的最短路径。我们通过一个小型网络示例的演示来应用此措施。比较之间是中间性。我们讨论情报调查机构如何从拟议措施中受益。除此之外,我们还讨论了正在使用的调查性数据挖掘技术,并与传统数据挖掘技术进行了比较。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号