Dual-strategy Analysis Model Based on Clustering and Inter-transaction Association Rules

摘要

Inter-transactional association rules mining is mainly used in mining significant association between different transaction, but the existing algorithm only focus on the efficiency or accuracy. In this study, we propose the inter-transactional association rules algorithm based on cluster and dual-strategy analysis model. The algorithm adopts dual-strategy interest model to judge the integrity of the inter-transactional association rules, make up for mining bugs, avoid the generation of false rules, improve the quality of the mining algorithm; And use of cluster analysis to remove a large number of redundant data in database, improve the efficiency of the algorithm. The experimental results show that the proposed algorithm improves accuracy and efficiency of inter-transactional association rules algorithm.