Research on application of digital library based on association rules

In this paper, based on the in-depth research on the related technologies of data mining and mining algorithms for association rules, it explores how to improve the effectiveness of the Apriori algorithm, and attempts to use the self-adaptive step length leap and dynamic pruning candidate itemsets to improve the defects of the Apriori algorithm, and then proposes an improved Apriori algorithm. In this paper, it focuses to explore how to apply the data mining techniques to the library management system to improve the management level and the efficiency of service, and hopes to play the reference and promoting roles in the research work of related scholars in this field.