Towards interactive event log forensics: Detecting and quantifying timestamp imperfections

作者：

Highlights：

• Proposes an approach to detect and quantify timestamp imperfections in event logs.

• Introduces 15 metrics mapped to four event log levels and four data quality dimensions.

• Implemented as a software prototype within the open-source framework ProM.

• Evaluated against design specification, real-world fidelity, usefulness and ease-of-use.

摘要

•Proposes an approach to detect and quantify timestamp imperfections in event logs.•Introduces 15 metrics mapped to four event log levels and four data quality dimensions.•Implemented as a software prototype within the open-source framework ProM.•Evaluated against design specification, real-world fidelity, usefulness and ease-of-use.

论文关键词：Process Mining,Event log,Data quality,Timestamps,Quality assessment

论文评审过程：Received 26 January 2021, Revised 22 February 2022, Accepted 23 March 2022, Available online 26 March 2022, Version of Record 30 June 2022.

论文官网地址：https://doi.org/10.1016/j.is.2022.102039