Graph-based technologies for intelligence analysis

被引：87

作者：

Coffman, T ^{[1
]}

Greenblatt, S ^{[1
]}

Marcus, S ^{[1
]}

机构：

[1] 21st Century Technol, Austin, TX USA

来源：

COMMUNICATIONS OF THE ACM | 2004年 / 47卷 / 03期

关键词：

D O I：

10.1145/971617.971643

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Different graph-based technologies for intelligence analysis are described. Subgraph isomorphism and social network analysis (SNA) are two important graph-based approaches that will help analysts detect suspicious activity in large volumes of data. A set of genetic algorithms that solve the exact and inexact subgraph isomorphism problem are developed. SNA metrics are combined with statistical pattern classification to give the analyst a tool for automatically pinpointing suspicious group dynamics within large volumes of data.

引用

页码：45 / 47

页数：3