Automatic generation of data cleaning rule chain based on poset

He Jun1
Zhang Caiqing2a
Li Xiaozhen1
Zhang Dehai2b
1. College of Information Engineering, Kunming University, Kunming 650214, China
2. a. College of Foreign Languages, b. College of Software, Yunnan University, Kunming 650206, China

Abstract

In order to solve the problem of frequent logical conflicts and high error rate between rules in data cleaning, this paper proposed an automatic rule chain generation method based on partial order set. It classified and processed the rules from top to bottom by the hierarchical data cleaning framework. It automatically generated the rules chain of each level by using partial order set and Hasse diagram, and designed the corresponding generation algorithm and automatic cleaning algorithm. Taking the data of poverty alleviation as an example, the results show that the proposed method can improve the efficiency of data cleaning, reduce the error rate of cleaning results, and test the scientificity and effectiveness of the method.

Foundation Support

国家自然科学基金资助项目(61263043,61864004)
云南省地方本科高校基础研究联合专项基金资助项目(2017FH001-05)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.12.0617
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 1
Section: Algorithm Research & Explore
Pages: 83-87
Serial Number: 1001-3695(2021)01-016-0083-05

Publish History

[2021-01-05] Printed Article

Cite This Article

何俊, 张彩庆, 李小珍, 等. 基于偏序集的数据清洗规则链自动生成方法 [J]. 计算机应用研究, 2021, 38 (1): 83-87. (He Jun, Zhang Caiqing, Li Xiaozhen, et al. Automatic generation of data cleaning rule chain based on poset [J]. Application Research of Computers, 2021, 38 (1): 83-87. )

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