Categorization and regression algorithm based on the quantitative association rule tree

To solve the problem of the low efficiency and accuracy of numerical data mining based on the Apriori categorization association rule algorithm,this article introduces a categorization and regression algorithm based on the quantitative association rule tree.The modified quantitative association rule algorithm is adopted to mine numerical datasets to generate an association rule base,and the association rule tree(QART) is reconstructed to realize the categorization and regression prediction.The results show that quantitative association based on the modified Apriori algorithm is helpful for improving the accuracy of categorization and regression and reducing the computational complexity,and the quantitative association rule tree can improve the efficiency of categorization and regression and increase the rule matching speed.