首页> 外文会议>International Conference on Materials Science and Information Technology >A Study of Negative Association Rules Mining Algorithm Based on Multi-Database
【24h】

A Study of Negative Association Rules Mining Algorithm Based on Multi-Database

机译:基于多数据库的负关联规则挖掘算法研究

获取原文

摘要

The mutual exclusion relationships among data items are reflected by negative association rules, which is very important on the decision-making analysis. In the last several years, negative association rules are frequently researched, while the study object of it is single mining of database now. With the development of database technology, multi-database mining is more and more important. On the basis of analyzing the related technology, research status and shortage of present negative association rules mining, the selecting rules, weighted synthesis and algorithm are discussed on multi-datobase.
机译:数据项之间的相互排除关系被负关联规则反映,这对决策分析非常重要。在过去的几年中,经常研究负面关联规则,而现在的研究对象是现在的单一挖掘。随着数据库技术的发展,多数据库挖掘越来越重要。在分析相关技术的基础上,对当前负关联规则挖掘的研究现状和短缺,在多数据赛中讨论了选择规则,加权合成和算法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号