A Data Quality Improvement Method Based on the Greedy Algorithm

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 工业控制网络与系统研究室

	A Data Quality Improvement Method Based on the Greedy Algorithm
	Wang ZF(王忠锋)1,2; Fu YT(付亚同)1,2; Song CH(宋纯贺)1,2; Ge WC(葛维春)3; Qiao L(乔林)3; Zhang HY(张宏宇)3
	2019
会议日期	August 24-25, 2019
会议地点	Nanjing, China
关键词	Data quality Improvement order Greedy algorithm
页码	256-266
英文摘要	High-quality data is very important for data analysis and mining. Data quality can be indicated by many indicators, and some methods have been proposed for data quality improvement by improving one or more data quality indicators. However, there is few work to discuss the impact of the processing order of data quality indicators on the overall data quality. In this paper, first, some data quality indicators and their improvement methods are given; second, the impact of the processing order of data quality indicators on the overall data quality is discussed, and then a novel data quality improvement method based on the greedy algorithm is proposed. Experiments have been shown that the proposed method can improves the data quality while reducing the time and computational costs.
产权排序	1
会议录	Machine Learning and Intelligent Communications - 4th International Conference, MLICOM 2019, Proceedings
会议录出版者	Springer
会议录出版地	Berlin
语种	英语
ISSN号	1867-8211
ISBN号	978-3-030-32387-5
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/26026]
专题	沈阳自动化研究所_工业控制网络与系统研究室
通讯作者	Song CH(宋纯贺)
作者单位	1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China 2.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 3.State Grid Liaoning Electric Power Co., Ltd., 110000, Shenyang, China
推荐引用方式 GB/T 7714	Wang ZF,Fu YT,Song CH,et al. A Data Quality Improvement Method Based on the Greedy Algorithm[C]. 见:. Nanjing, China. August 24-25, 2019.