数据质量评估研究综述
Survey on Data Quality Research
由于数据集收集的方式及方法的不确定,数据集的质量难以保证。且高质量的数据是分析和利用大数据的前提,因此数据质量的衡量尤为重要。本文首先针对数据质量的特点,介绍了数据质量的研究现状,其次对数据质量涉及到的技术及相关理论进行了阐述,并对几种常用的数据质量评估方法进行了重点分析。最后总结了数据质量研究未来的发展趋。????
ue to the uncertainty of the way and method of data collection, it is difficult to guarantee the quality of data set. And high quality data is the premise of analyzing and using big data, so the measurement of data quality is particularly important. In this paper, firstly, according to the characteristics of data quality, the research status of data quality is introduced. Secondly, the technology and related theories related to data quality are elaborated, and several commonly used data quality evaluation methods are analyzed. Finally, the future development trend of data quality research is summarized
周亚建、孙鸣昊
计算技术、计算机技术
数据质量大数据数据质量评估层次分析法异常值检测
ata qualitybig datadata quality assessmentanalytic hierarchy processoutlier detection
周亚建,孙鸣昊.数据质量评估研究综述[EB/OL].(2021-02-04)[2025-08-21].http://www.paper.edu.cn/releasepaper/content/202102-15.点此复制
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