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| 基于关联规则的犯罪预防分析方法 | |
| 引用本文： | 李俊莉,周铜,刘琦.基于关联规则的犯罪预防分析方法[J].信阳师范学院学报(自然科学版),2011,24(1):107-110. |
| 作者姓名： | 李俊莉 周铜 刘琦 |
| 作者单位： | 1. 中国人民公安大学,北京,100038;河南警察学院,河南,郑州,450002 2. 中州大学,河南,郑州,450052 3. 河南警察学院,河南,郑州,450002 |
| 基金项目： | 中国人民公安大学2010年博士基金目，河南省社科规划项目 |
| 摘 要： | 利用公安系统建立的各类信息库,针对犯罪预防领域研究了关联规则的挖掘技术.系统的实现首先是根据已有的公安系统数据库,通过提取相关信息,找出所有支持度大于最小支持度的项集,产生用户感兴趣的频繁项集.其次,根据频集产生所期望的规则,设计支持度函数,进行设定规则的犯罪行为的数据挖掘研究,得到与之关联的犯罪特征,揭示潜在的犯罪规律,从而对犯罪预防提供数据支持. |
| 关 键 词： | 数据挖掘 关联规则 犯罪预防分析 |
Analysis System for Crime Prevention Based on Connection Rule |
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| LI Jun,ZHOU Tong,LIU Qi.Analysis System for Crime Prevention Based on Connection Rule[J].Journal of Xinyang Teachers College(Natural Science Edition),2011,24(1):107-110. | |
| Authors: | LI Jun ZHOU Tong LIU Qi |
| Institution: | LI Jun-li1,2,ZHOU Tong3,LIU Qi2(1.Chinese People's Public Security University,Beijing 100038,China,2.Henan Police Academy,Zhengzhou 450002,3.Zhongzhou University,Zhengzhou 450052,China) |
| Abstract: | Using various information databases established in the public security system,the data mining technologies of connection rule was studied in the crime prevention field.Based on the extracted relevant information,all the item sets whose support are larger than the minimal support were found out,producing the user interested frequent item sets.Furthermore,according to the desired rule that the frequent item sets,the data mining research on specified crime behavior was carried out to get associated crime chara... |
| Keywords: | data mining connection rule crime prevention analysis |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |