关键词: 相似性分析, 关联规则挖掘, 流程优化

Abstract: Aiming at the business processes to be optimized,a solution based on association rules mining of database logs was proposed.In this solution,the database logs were turned into geometric-measurable workflow logs through vectorization,and the similarity between database logs was comprehensively analyzed in angle and distance.In this way,the user behavior profiles were obtained with similarity-based correlation analysis algorithm,which could guide the nodes splitting and merging as well as reshape the node structure to optimize the processes.Meanwhile,this solution also assessed the accuracy of correlation analysis by multi-order iteration and made the algorithm be executed in a reasonable range.

Key words: similarity analysis, association rules mining, process optimization