Dual-strategy Analysis Model Based on Clustering and Inter-transaction Association Rules
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.
Dual-strategy interest model cluster analysis Markov model
Fan Sun Yonggong Ren Yanyan Qi
School of Computer and Information Technology Liaoning Normal University Dalian, China School of Computer and InformationTechnology Liaoning Normal University Dalian, China
国际会议
重庆
英文
78-81
2011-10-21（万方平台首次上网日期，不代表论文的发表时间）