Online correlation for unlabeled process events: A flexible CEP-based approach

作者：

Highlights：

• Online event correlation for low-level process events that leverage CEP technology.

• A flexible approach using CEP rules can be added, removed, or modified at runtime.

• Realization on top of Esper engine (a state-of-the-art industrial CEP engine).

• Evaluation on real-life and synthetic logs and comparison with baseline approaches.

• Achieving higher throughput, accuracy, and latency compared to the state-of-the-art.

摘要

•Online event correlation for low-level process events that leverage CEP technology.•A flexible approach using CEP rules can be added, removed, or modified at runtime.•Realization on top of Esper engine (a state-of-the-art industrial CEP engine).•Evaluation on real-life and synthetic logs and comparison with baseline approaches.•Achieving higher throughput, accuracy, and latency compared to the state-of-the-art.

论文关键词：Process mining,Uncorrelated events,Event streams,Complex event processing

论文评审过程：Received 25 December 2020, Revised 2 February 2022, Accepted 14 March 2022, Available online 15 March 2022, Version of Record 23 March 2022.

论文官网地址：https://doi.org/10.1016/j.is.2022.102031