计算机应用研究2011，Vol.28Issue(3)：998-1002,5.DOI:10.3969/j.issn.1001-3695.2011.03.058
基于实体关系的犯罪网络识别机制
Criminal network recognition mechanism based on entity relationship
摘要
Abstract
Entity relationship extraction, the goal of which was to discover the relationship of two or more entities in the dataset, was a crucial component in data mining and information retrieval domain. Criminal network with characteristics of social network was an epitome of the whole society, thus using the methods and technologies in social network analysis to analyze criminal network could make miracles in information processing field. This paper definited 8 kinds of relation, relation-descriptors and relation models first and then described the process how extracted relationship and finally proposed CNCD algorithm to discover core figures in the network. It also developed a practical visualization tool to improve the efficiency of public security department. As experiments and feedback show, this system can be beneficial to security departments to a certain extent.关键词
实体关系抽取/关系模型/网络挖掘/网络可视化分类
信息技术与安全科学引用本文复制引用
周利娟,林鸿飞,罗文华..基于实体关系的犯罪网络识别机制[J].计算机应用研究,2011,28(3):998-1002,5.基金项目
国家自然科学基金资助项目(60673039,60973068) （60673039,60973068）
国家社科基金资助项目(08BTQ025) （08BTQ025）
国家"863"高科技计划资助项目(2006AA01Z151) （2006AA01Z151）
高等学校博士学科点专项科研基金资助项目(20090041110002) （20090041110002）
公安部应用创新计划项目(2007YYCXXJXY106) （2007YYCXXJXY106）
