A Data Cleaning Method Based on Association Rules
- 10.2991/iske.2007.149How to use a DOI?
- data mining; data cleaning; business rules; association rules
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.
- © 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 -