业务流程的时延预测队列挖掘方法-计算机工程与应用.PDFVIP

226 2017 ，53（9 ） Computer Engineering and Applications 计算机工程与应用 业务流程的时延预测队列挖掘方法 1 1 1 2 曹芮浩 ，方贤文 ，王晓悦 ，刘祥伟 1 1 1 2 CAO Ruihao , FANG Xianwen , WANG Xiaoyue , LIU Xiangwei 1. 安徽理工大学 信息科学系，安徽 淮南 232001 2. 安徽理工大学 经管学院，安徽 淮南 232001 1.Department of Information Science ，Anhui University of Science and Technology, Huainan, Anhui 232001, China 2.College of Economic and Management, Anhui University of Science and Technology, Huainan, Anhui 232001, China CAO Ruihao, FANG Xianwen, WANG Xiaoyue, et al. Delay prediction of queue mining method for business pro- cess. Computer Engineering and Applications, 2017, 53 （9 ）：226-230. 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 摘 要：过程挖掘是针对流程信息系统所记录下的日志进行分析，将业务流程真实过程还原的技术。目前已有的方 法多是基于控制流与数据流的观点，针对任务运行状态的，无时延的业务过程进行挖