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数据清理中几种解决数据冲突的方法
Alternative Titleseveral methods of solving data conflict in data cleaning
唐新余; 陈海燕; 李晓; 邹光兴
2004
Source Publication计算机应用研究
ISSN1001-3695
Volume21Issue:12Pages:209-211,225
Abstract

建立数据挖掘模型的基石是数据仓库,数据仓库的质量直接影响到数据挖掘模型的建立与执行效率,并有可能影响到数据挖掘模型的最终结果的准确度。数据清理就是发现数据中的错误和不一致并加以消除,以提高数据的质量,使得数据挖掘模型建立的过程更加快捷和简便,挖掘出来的模式和规则也就更加有效和适用。

Other Abstract

The footstone of creating a data mining model is data warehouse. The quality of data warehouse directly effects the efficiency of founding and implementing a data mining model, even effects the veracity of the final results of the data mining model. Data cleaning improves the quality of data by detecting wrong and inconsistent data and eliminating them. It makes the process of creating a data mining model speedily and handy, and makes the pattern and the ndes of model efficaciously and applicably.

Keyword数据清理 数据挖掘 数据仓库 数据质量 数据冲突 极端数据
Subject AreaComputer Science (Provided By Thomson Reuters)
Indexed ByCSCD
CSCD IDCSCD:1808591
Citation statistics
Document Type期刊论文
Identifierhttp://ir.xjipc.cas.cn/handle/365002/2210
Collection多语种信息技术研究室
Affiliation中国科学院新疆理化技术研究所; 新疆大学信息科学与工程学院;中国科学院研究生院
Recommended Citation
GB/T 7714
唐新余,陈海燕,李晓,等. 数据清理中几种解决数据冲突的方法[J]. 计算机应用研究,2004,21(12):209-211,225.
APA 唐新余,陈海燕,李晓,&邹光兴.(2004).数据清理中几种解决数据冲突的方法.计算机应用研究,21(12),209-211,225.
MLA 唐新余,et al."数据清理中几种解决数据冲突的方法".计算机应用研究 21.12(2004):209-211,225.
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