首页 | 本学科首页   官方微博 | 高级检索  
     

关联规则挖掘在应急管理系统中的应斥
引用本文:岳杰,肖由,谭露. 关联规则挖掘在应急管理系统中的应斥[J]. 网络安全技术与应用, 2013, 0(1): 56-58
作者姓名:岳杰  肖由  谭露
作者单位:西南石油大学研究生院 四川637001
基金项目:国家重大专项:钻井工程设计与工艺软件
摘    要:针对油田钻探中的钻井事故,运用数据挖掘技术为应急管理系统提供高质量的信息支持。应用数据挖掘中的关联规则挖掘分析钻井事故相关参数的内在关联关系。实现了Apriori算法,并将它应用到钻井事故的数据库中.最终得到了钻井事故相关参数的强关联规则。

关 键 词:应急管理系统  数据挖掘  关联规则  频繁项集  强规则

Application of Association rules mining in emergency management system
Yue Jie , Xiao You , Tan Lu. Application of Association rules mining in emergency management system[J]. Net Security Technologies and Application, 2013, 0(1): 56-58
Authors:Yue Jie    Xiao You    Tan Lu
Affiliation:School of Computer Science, Southwest Petroleum University, Sichuan,637001 ,China
Abstract:Aiming for the drilling accident of the Oilfield drilling, the main object of this paper is taking advantage of the Data mining technique to provide Emergency Management System with a high---quality information support. The central research of this paper is applying the Association rules analysis , which is one method of data mining, to solve the inner relationship of related parameters about drilling accident. This paper implements Apriori algorithm and applies the algorithms to the database of the drilling accident, finally achieves the strong association rules of related parameters about drilling accident.
Keywords:Emergency Management system  data mining  association rules mining  frequent itemset  strong rule
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号