Mining method for batch processing workflow model based on WF-net

• Article •

Mining method for batch processing workflow model based on WF-net

WEN Yi-ping, CHEN Zhi-gang, CHEN Tie-min

1.School of Information Science and Engineering, Central South University, Changsha 410083, China;2.Key Laboratory of Knowledge Processing and Networked Manufacture, Hunan University of Science and Technology, Xiangtan 411201, China;3.Hunan Mobile Communication Company, Yongzhou 425000, China

Online:2012-08-15 Published:2012-08-25

基于工作流网的成批处理工作流模型挖掘方法

文一凭，陈志刚，陈铁民

1.中南大学信息科学与工程学院,湖南长沙410083；2.湖南科技大学知识处理与网络化制造湖南省普通高校重点实验室,湖南湘潭411201；3.湖南移动永州分公司,湖南永州425000

Abstract

Abstract: Aiming at the disadvantage of current process mining technology on batch processing workflow models, the corresponding process mining method was researched. Through activity instances'data in event log such as input/output and starting/ending time, the batch processing area and hidden event records were found by introducing the concept of batch processing features. Combined with existing process mining method, the batch processing workflow model was mined. The superior performance of existing process mining method was used by proposed method to solve the model construction problem in batch processing workflow system. The effectiveness of method was verified by simulation experiment.

Key words: batch processing workflow, process mining, activity instances, workflow nets

摘要： 针对现有过程挖掘技术在解决成批处理工作流模型挖掘问题上存在的不足，研究了相应的过程挖掘方法。利用系统事件日志中活动实例的输入输出、开始与结束时间等数据，通过引入成批处理特征等概念来发现成批处理区及隐含的事件记录，并结合现有过程挖掘方法来挖掘成批处理工作流模型。该方法充分利用现有过程挖掘方法的优越性能，解决了支持成批处理工作流系统中的模型自动构建问题。通过仿真实验验证了该方法的有效性。

关键词: 成批处理工作流, 过程挖掘, 活动实例, 工作流网

CLC Number:

TP311

WEN Yi-ping,, CHEN Zhi-gang+, CHEN Tie-min. Mining method for batch processing workflow model based on WF-net[J]. .

文一凭,，陈志刚+，陈铁民. 基于工作流网的成批处理工作流模型挖掘方法[J]. .

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