计算机科学 ›› 2011, Vol. 38 ›› Issue (Z10): 206-208.

• CRSSC-CWI-CGrC2015 • 上一篇    下一篇

基于初始不可见任务的过程挖掘方法的改进

薛岗,刘芳妤,周逸漩,叶小虎   

  1. (云南大学国家示范性软件学院 昆明650091);(云南大学信息科学与工程学院 昆明650091)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受云南省教育厅科学研究基础基金项目(2010Y252)资助。

Towards Improving Process Mining Results Based on Invisible Tasks

XUE Gang,LIU Fang-yu, ZHOU Yi xuan, YE Xiao-hu   

  • Online:2018-11-16 Published:2018-11-16

摘要: 过程挖掘对于部署新的商业流程以及审计、分析和改进已有的流程是非常有帮助的。将解决在处理不可见任务时都存在的一些问题。例如一个任务存在于过程模型中,但是并没有在事件日志中体现,这样的任务主要服务于路由,但是绝对不能忽视。分析日志中不可见的任务,并对任务的强循环、弱循环等特性进行分析,在此基础上提出新的过程挖掘方法,以便更好地提高对不可见任务的挖掘效率。

关键词: 任务,不可见,跳,循环,挖掘

Abstract: Process mining is helpful for deploying new business processes as well as auditing, analyzing and improving the already enacted ones. I}he following text will solve the problem in dealing with invisible tasks,such tasks that exist in a process model but not in its event log. This is a problem since invisible tasks are mainly used for routing purpose but must not be ignored. Analyzed the features of strong-loop,weak-loop,jump and invisible tasks,on the basis of which a new algorithm was proposed. This algorithm can improve the efficiency of the mining of invisible tasks.

Key words: Task, Invisible, Jump, Loop, Mining

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