Optimal Cleaning Rule Selection Model Design Based on Machine Learning

Considering the limited extensibility and the uneven capacity of the cleaning rule in current data cleaning work, this paper proposes an optimal cleaning rule selection model based on the machine learning. By establishing a cleaning rule performance evaluation system, the model realizes the optimal cleaning rule selection. It implements dynamic expansion of cleaning rule by the support of rules base. The model ensures the results of the data cleaning process and improves the performance of the data cleaning.