关键词: 聚类, 余弦相似度, 因果行为轮廓, 流程挖掘, 流程变体, 参考模型

Abstract: As the applied changes and adaptability of process model,plenty of process variants are derived from the same model in practical applications.Many similarities in structure and function are existed among these process variants,but at least some details and structures are distinguished from each other.It is difficult to configure and maintain these variants.To use fewer system models to describe process variants,a process variants cluster mining method was proposed.Variant models were transformed into matrices by combining the concept of causal behavioral profiles.Weighted cosine similarity was used to cluster activities and determine the behavior relationship between activities.An objective reference process model was obtained by iterating repeatedly until all activities clustered.The obtained clustered model was easier to configure different process variants than the original reference model.In the simulation experiments,the purposed method was compared with the traditional process mining and classical heuristic algorithm,the experiment results showed the feasibility and effectiveness of the proposed method in mining reference model.

Key words: cluster, cosine similarity, causal behavioral profiles, process mining, process variants, reference model