现代电子技术2016，Vol.39Issue(15)：137-139,144,4.DOI:10.16652/j.issn.1004-373x.2016.15.035
基于聚类分析的离群检测方法在电网数据质量管理中的应用研究
Application of outlier detection method based on cluster analysis in power grid data quality management
严宇平 1萧展辉1
作者信息
- 1. 广东电网有限责任公司，广东 广州 510620
- 折叠
摘要
Abstract
With the application of various techniques in information system data quality detection of power enterprise,the enterprise data quality is improved shapely. The current data quality detection methods only can provide the solutions for the ob⁃vious data quality problems,such as data missing,messy code,special character,and lack the effective technical detection means for the unobvious business rules and recessive data quality problems. In this paper,the production equipment account da⁃ta quality detection of Guangdong Power Grid Corporation is taken as an example,and the sample outlier detection technology of data abnormal value based on cluster analysis is proposed. The typical application method of this technology in data quality pro⁃motion is explored to provide the technical support for the constant improvement of data quality detection rules.关键词
数据质量/聚类分析/离群检测/设备台帐/异常值Key words
data quality/cluster analysis/outlier detection/equipment account/abnormal value分类
信息技术与安全科学引用本文复制引用
严宇平,萧展辉..基于聚类分析的离群检测方法在电网数据质量管理中的应用研究[J].现代电子技术,2016,39(15):137-139,144,4.
