关键词: 队列挖掘, 时延预测, 服务日志, 过程挖掘, 行为轮廓

Abstract: Process mining is to analyze the log of the process information system, and to restore the real process of the business process. At present, the existing methods are based on the control flow and data flow, work for business process mining without time delay of activities and mining the process execution state. However, there are some limitations in the existing methods for the development of the time delay of multi tasks. This paper proposes a method for optimizing the process model based on queue mining. Firstly, it uses the existing process mining method, and finds the initial model of the business process. Then, by using the view of queue mining, it predicts the time delay of a target-customer to generalize the customer’s behavior information which is used to optimize the initial process model. Finally, the effectiveness of the proposed method is verified by an example. The optimized process model not only has a good replay on the event log, but also can reflect the behavior information of the task in the business process with time delay.

Key words: queue mining, delay prediction, service log, process mining, behavioral profile