Relative accuracy evaluation.

The quality of data plays an important role in business analysis and decision making, and data accuracy is an important aspect in data quality. Thus one necessary task for data quality management is to evaluate the accuracy of the data. And in order to solve the problem that the accuracy of the whol...

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Autores principales: Yan Zhang, Hongzhi Wang, Zhongsheng Yang, Jianzhong Li
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2014
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Acceso en línea:https://doaj.org/article/c680913546a34cdab39514b27b49780d
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spelling oai:doaj.org-article:c680913546a34cdab39514b27b49780d2021-11-25T06:04:16ZRelative accuracy evaluation.1932-620310.1371/journal.pone.0103853https://doaj.org/article/c680913546a34cdab39514b27b49780d2014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25133752/?tool=EBIhttps://doaj.org/toc/1932-6203The quality of data plays an important role in business analysis and decision making, and data accuracy is an important aspect in data quality. Thus one necessary task for data quality management is to evaluate the accuracy of the data. And in order to solve the problem that the accuracy of the whole data set is low while a useful part may be high, it is also necessary to evaluate the accuracy of the query results, called relative accuracy. However, as far as we know, neither measure nor effective methods for the accuracy evaluation methods are proposed. Motivated by this, for relative accuracy evaluation, we propose a systematic method. We design a relative accuracy evaluation framework for relational databases based on a new metric to measure the accuracy using statistics. We apply the methods to evaluate the precision and recall of basic queries, which show the result's relative accuracy. We also propose the method to handle data update and to improve accuracy evaluation using functional dependencies. Extensive experimental results show the effectiveness and efficiency of our proposed framework and algorithms.Yan ZhangHongzhi WangZhongsheng YangJianzhong LiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 8, p e103853 (2014)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yan Zhang
Hongzhi Wang
Zhongsheng Yang
Jianzhong Li
Relative accuracy evaluation.
description The quality of data plays an important role in business analysis and decision making, and data accuracy is an important aspect in data quality. Thus one necessary task for data quality management is to evaluate the accuracy of the data. And in order to solve the problem that the accuracy of the whole data set is low while a useful part may be high, it is also necessary to evaluate the accuracy of the query results, called relative accuracy. However, as far as we know, neither measure nor effective methods for the accuracy evaluation methods are proposed. Motivated by this, for relative accuracy evaluation, we propose a systematic method. We design a relative accuracy evaluation framework for relational databases based on a new metric to measure the accuracy using statistics. We apply the methods to evaluate the precision and recall of basic queries, which show the result's relative accuracy. We also propose the method to handle data update and to improve accuracy evaluation using functional dependencies. Extensive experimental results show the effectiveness and efficiency of our proposed framework and algorithms.
format article
author Yan Zhang
Hongzhi Wang
Zhongsheng Yang
Jianzhong Li
author_facet Yan Zhang
Hongzhi Wang
Zhongsheng Yang
Jianzhong Li
author_sort Yan Zhang
title Relative accuracy evaluation.
title_short Relative accuracy evaluation.
title_full Relative accuracy evaluation.
title_fullStr Relative accuracy evaluation.
title_full_unstemmed Relative accuracy evaluation.
title_sort relative accuracy evaluation.
publisher Public Library of Science (PLoS)
publishDate 2014
url https://doaj.org/article/c680913546a34cdab39514b27b49780d
work_keys_str_mv AT yanzhang relativeaccuracyevaluation
AT hongzhiwang relativeaccuracyevaluation
AT zhongshengyang relativeaccuracyevaluation
AT jianzhongli relativeaccuracyevaluation
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