首页> 外文会议>International conference on intelligent information technology application >A New Algorithm for Quantitative Association Rule Mining Based on SQL Language
【24h】

A New Algorithm for Quantitative Association Rule Mining Based on SQL Language

机译:一种基于SQL语言的定量关联规则挖掘的新算法

获取原文

摘要

The paper improves Apriori algorithm based on Sql.At the same time,improves the algorithm of finding association rules.It can reduce the times of accessing database to enhance the efficiency of this algorithm.The examples show that the algorithm is an effective method of association rulers mining.
机译:本文提高了基于SQL.AT的APRiori算法同时,改善了查找关联规则的算法。它可以减少访问数据库的时间,以提高该算法的效率。该示例表明该算法是一种有效的关联方法统治者挖掘。

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