【摘要】 为了满足企业业务流程模型的运行效率、完善网上购物流程,提出了一种基于Petri网行为轮廓的网上购物流程挖掘方法.首先根据某网上购物系统提供的事件日志,利用Petri网行为轮廓的弱序关系,设计出相应的流程模型;然后通过计算模型与事件日志之间的服从程度,对初始模型进行改进和优化;最后用实例分析说明了本文挖掘方法的可行性.更多还原

【Abstract】 In order to meet the operational efficiency of the enterprise business process model and improve the online shopping process, an online shopping process mining method based on behavioral profile of Petri net is proposed. Firstly, according to the event log provided by an online shopping system, the corresponding process model is designed by using the weak order relationship of the behavioral profile of Petri net. Then the degree of compliance between the model and the event log is calculated, and the initial model is improved and optimized. The last example analysis shows that the algorithm has feasibility.更多还原