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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
Department工业控制网络与系统研究室
Conference Name4th International Conference on Machine Learning and Intelligent Communications, MLICOM 2019
Conference DateAugust 24-25, 2019
Conference PlaceNanjing, China
Source PublicationMachine Learning and Intelligent Communications - 4th International Conference, MLICOM 2019, Proceedings
PublisherSpringer
Publication PlaceBerlin
2019
Pages256-266
Indexed ByEI
EI Accession number20195007822021
Contribution Rank1
ISSN1867-8211
ISBN978-3-030-32387-5
KeywordData quality Improvement order Greedy algorithm
AbstractHigh-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.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/26026
Collection工业控制网络与系统研究室
Corresponding AuthorSong CH(宋纯贺)
Affiliation1.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
3.State Grid Liaoning Electric Power Co., Ltd., 110000, Shenyang, China
Recommended Citation
GB/T 7714
Wang ZF,Fu YT,Song CH,et al. A Data Quality Improvement Method Based on the Greedy Algorithm[C]. Berlin:Springer,2019:256-266.
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