Efficiency Modeling and Optimization of Interactive Scenarios Cultivated by Students' Core Values Under the Background of Chain Data Mining Algorithm

The layered chain data mining algorithm based on the ES algorithm idea, the periodic pattern incremental mining algorithm, inherits the storage characteristics of the layered chain graph and the advantages of separating frequent patterns, but the layered chain graph also has limitations. In the simulation of incremental mining algorithm application of layered chain graph. The core values lead the evolution of interactive scene efficiency modeling and optimization; on the other hand, the evolution of interactive scene efficiency modeling and optimization is an intuitive reflection of the changes in core values. The algorithm can reduce the number of times of scanning the transaction database and the number of candidate itemsets generated, thereby reducing the time to generate the largest frequent itemsets. The experimental results show that the algorithm improves the computing efficiency by 7.5%.