A Data Cleaning Method Based on Association Rules

DOI

10.2991/iske.2007.149How to use a DOI?

Keywords

data mining; data cleaning; business rules; association rules

Abstract

The quality of the data affects the usability of the data mining’s results. Making a data preparation before the mining can improve the quality. If the data are collected from the multi-data source, data preparation becomes very difficult. In this paper, a data-cleaning method based on the association rules is proposed. The new method adjusts the basic business rules provided by the experts with association rules mined from multi-data sources, and generates the advanced business rules for every data source. Using this method, time is saved and the accuracy of the data cleaning is improved.

Copyright

© 2007, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Weijie Wei
AU  - Mingwei Zhang
AU  - Bin Zhang
AU  - Xiaochun Tang
PY  - 2007/10
DA  - 2007/10
TI  - A Data Cleaning Method Based on Association Rules
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 872
EP  - 877
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.149
DO  - 10.2991/iske.2007.149
ID  - Wei2007/10
ER  -