中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Data Quality Improvement Method Based on the Greedy Algorithm

文献类型:会议论文

作者Wang ZF(王忠锋)2,3; Fu YT(付亚同)2,3; Song CH(宋纯贺)2,3; Ge WC(葛维春)1; Qiao L(乔林)1; Zhang HY(张宏宇)1
出版日期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
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.State Grid Liaoning Electric Power Co., Ltd., 110000, Shenyang, China
2.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, 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.

入库方式: OAI收割

来源:沈阳自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。