| 基于SQL分层抽样的数据挖掘算法的改进 |
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| 引用本文： | 谢笑盈,邢君飞. 基于SQL分层抽样的数据挖掘算法的改进[J]. 浙江师范大学学报(自然科学版), 2011, 34(2): 175-178 |
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| 作者姓名： | 谢笑盈 邢君飞 |
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| 作者单位： | 浙江师范大学,数理与信息工程学院,浙江,金华,321004 |
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| 摘 要： | 在对数据库聚类分析的基础上进行分层抽样,并使用关联规则,得出了数据之间的潜在关系.同时,对网民健身情况调查数据进行了实证分析,在SQL Server 2005上实现了抽样后的关联规则挖掘,提高了关联的效率,并取得了良好的效果.另外,对关联规则的评估作了一定的改进创新.
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| 关 键 词： | 聚类分析 分层抽样 关联规则 SQL |
Empirical study of data mining algorithm based on SQL stratified sampling |
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| XIE Xiaoying,XING Junfei. Empirical study of data mining algorithm based on SQL stratified sampling[J]. Journal of Zhejiang Normal University Natural Sciences, 2011, 34(2): 175-178 |
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| Authors: | XIE Xiaoying XING Junfei |
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| Affiliation: | XIE Xiaoying,XING Junfei(College of Mathematics,Physics and Information Engineering,Zhejiang Normal University,Jinhua Zhejiang 321004,China) |
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| Abstract: | It was aimed to get out the potential relation by the association rule algorithm in data mining after the stratified sampling based on clustering algorithms carried out in database.Meanwhile,an empirical study about netizen keeping fit condition on association rule data mining based on sampling was realized in SQL Server 2005,optimizing the efficiency of association,and obtained good effect.On the other hand,a new evaluation rule about association was also attempted. |
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| Keywords: | clustering analysis stratified sampling association rule SQL |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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