关键词: 业务过程模型, 顺序关系, 推荐, 复杂结构

Abstract: Traditional business process recommendation methods cannot deal with silent transitions and complex structures such as interacting loops.They cannot handle big datasets,and there is room to improve accuracy and efficiency.A recommendation method based on structural relations between precursor activity sequences and successor active nodes was proposed.All silent transitions in business process models were relabeled.After specifying the length of precursor activity sequences,the relations between precursor activity sequences and successor active nodes were extracted using three strategies.With the relation sets,the proper nodes were recommended.The experimental results showed that the method could handle the complex structures,silent transitions and large datasets,and it was outperformed all other state-of-the-art methods.

Key words: business process model, ordering relations, recommendation, complex structures