DaQAPO: Supporting flexible and fine-grained event log quality assessment

作者：

Highlights：

• Process mining draws insights in business processes from event logs.

• Reliability of process mining outcomes depend on quality of event logs.

• DaQAPO supports flexible and fine-grained event log quality assessment.

• DaQAPO is developed as an R-package providing a rich set of assessment tests.

• DaQAPO is integrated in bupaR, the open-source framework for process mining in R.

摘要

•Process mining draws insights in business processes from event logs.•Reliability of process mining outcomes depend on quality of event logs.•DaQAPO supports flexible and fine-grained event log quality assessment.•DaQAPO is developed as an R-package providing a rich set of assessment tests.•DaQAPO is integrated in bupaR, the open-source framework for process mining in R.

论文关键词：Process mining,Event log quality assessment,Event log quality,Data quality,Event log,R

论文评审过程：Received 10 April 2020, Revised 22 September 2021, Accepted 21 November 2021, Available online 11 December 2021, Version of Record 15 December 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116274