期刊名称：International Journal of Computer and Information Technology
印刷版ISSN：2279-0764
出版年度：2015
卷号：4
期号：2
出版社：International Journal of Computer and Information Technology
摘要：Automated intelligence analysis was born into a skeptical community dealing with high stakes dilemmas, where often outcomes are measured in loss of human life. The massive amount of data require analysts to be masters of identifying "indicators" intuitively foreshadowing intelligence targets and masters of modeling the indicators in analysis systems. The paper explores the application of graph theory through graph databases to determine how the index-free adjacency of graph databases can be exploited to improve processing time. The study utilized the Meth Hunter, an analytic machine designed to identify methamphetamine conspirators by analyzing pseudoephedrine purchase records as a case study. The graph database (Neo4j) was compared to a SQL relational database (WAMP). Neo4j demonstrated superior performance in identifying and retrieving relationships between data points. Neo4j successfully demonstrated the ability to implement such a strategy and extend the horizons of traditional data mining systems.
关键词：Automated intelligence; big data; graph database; ; SQL database
