Visualization of association rules based on a gray correlation analysis model

Aiming at the limitations of the existing association rules visualization mining method in dealing with the limitations of the frequent multi-feature data and the frequent patterns between the data, and the overlapping rules in the visualization, a correlation rule visualization algorithm based on gray correlation is proposed. The algorithm considers the influence of the association rules on the visualization. Based on the attribute analysis method in the gray set, the multi - attribute values are defined and classified, and the parameters of the mining process are adjusted to facilitate the selection of the key attribute values. The experimental results show that the improved mining algorithm has good performance, and the proposed visualization form has good effect compared with the existing results.