Abstract: With the development of enterprises,more and more logs are generated and recorded by the system,and the process of mining block structures from cumbersome and complicated logs becomes more challenging.This paper proposed an approach of vertically dividing logs,greatly reducing the number of instances of each log partition,and shorte-ning the length of each trace to process complex logs and mining accurate models from them.The basis of log division is activity division.Firstly,based on the idea of behavioral association,the concept of common transition is proposed torea-lize the aggregation division of interrelated activities.Then,from the perspective of the number of common transitions in the log,the activity set is divided by mutually different and interleaved methods,thereby realizing the division of mo-dules and logs.The proposed module and log partitioning method can be iterated until that the log partitioning is simple enough.Finally,a block structure is mined from each divided simple log,and a reasonable overall system model is formed by combining block structures.The feasibility of the proposed method is verified by Prom experiment.

Key words: Block structure, Common transition, Complex log, Log partitioning