An end-to-end approach and tool for BPMN process discovery

作者：

Highlights：

• We propose an end-to-end approach for BPMN process modeling from event logs.

• We propose a filtering algorithm for removing outliers in the event log.

• We present an algorithm for the identification of join gateways in the BPMN models.

• We implement a tool called P-Miner that realizes our proposed approach.

摘要

•We propose an end-to-end approach for BPMN process modeling from event logs.•We propose a filtering algorithm for removing outliers in the event log.•We present an algorithm for the identification of join gateways in the BPMN models.•We implement a tool called P-Miner that realizes our proposed approach.

论文关键词：Process mining,Model discovery,Heuristic rules,Event logs,Filtering,Outlier behaviour

论文评审过程：Received 9 January 2020, Revised 21 September 2020, Accepted 25 January 2021, Available online 6 February 2021, Version of Record 7 March 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114662