Analysis of Library loan records based on hybrid Apriori- Genetic algorithm

Abstract

The library database system accumulates lots of information resources in the long-term service process. Apriori algorithm mining association rules has low time and space efficiency, resulting in a large number of association rules. Using hybrid Apriori-Genetic algorithm to analyze records can be effective. Firstly, the records are cleaned and preprocessed, and the algorithm is used to analyze records, so as to find the association rules between different types of books borrowed, and then the two algorithms are compared in the the number of association rules and Algorithm time complexity.