A Data Cleaning Method Based on Association Rules
Authors
Weijie Wei1, Mingwei Zhang, Bin Zhang, Xiaochun Tang
1College of Information Science and Engineering, Northeastern University
Corresponding Author
Weijie Wei
Available Online October 2007.
- 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/).
Cite this article
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 -