| 摘要: |
| 针对重点关系人分析与确定问题，基于人员信息数据、话单数据和火车/航班出行数据构建多维关系网络，提出利用Neo4j图数据库的查询分析功能挖掘共同联系人、共同出行人和重点关系人，查找和发现密切接触者、嫌疑人及团伙等的方法，搭建了多维关系网络分析演示系统。实验结果表明，在保证准确率的情况下，所提方法的分析效率相较对比方法提高5倍以上。 |
| 关键词: 数据挖掘 人员关系挖掘 多维关系网络 图数据库 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目（61802271） |
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| Personnel Relationship Mining Based on Neo4j Graph Database |
| DING Hongli |
| (Southwest China Institute of Electronic Technology,Chengdu 610036,China) |
| Abstract: |
| For the analysis and determination of key related persons,this paper constructs a multidimensional relational network based on personnel information data,the phone data and the train/flight travel data,and proposes methods of mining common contacts,common travelers and key related persons,finding and discovering close contacts,suspects and gangs by using the query and analysis function of Neo4j graph database,and builds a multidimensional relational network analysis and demonstration system.The experimental results show that the analysis efficiency of the method is improved by more than 5 times compared with the selected test method while ensuring the accuracy. |
| Key words: data mining personnel relationship mining multidimensional relational network graph database |
《电讯技术》编辑部 