Adaptive model fusion algorithm for decision trees and association rules

CCS CONCEPTS • This paper proposes an adaptive model fusion algorithm based on decision trees and association rules. The decision trees are fused with association rules, the results of the decision trees are used as a priori conditions for the calculation of association rules, and the results of the model fusion are further fused with the results of the association rules to obtain the results of the algorithm. To determine the effectiveness of the algorithm, this paper collects data from 828 participants and applies the algorithm to obtain the results of the algorithm to effectively mine the relationships and rules that exist between real data, which has certain guiding significance in practical applications.; • CCS CONCEPTS; • Mathematics of computing→ Probability and statistics;