Cause vs. effect in context-sensitive prediction of business process instances

作者：

Highlights：

• Introduction of a process-aware and context-sensitive business process prediction technique called CECA-DBN.

• We differentiate between cause and effect relations of context information in relation to the process flow.

• CECA-DBN is benchmarked against other related prediction techniques and shows that context-sensitivity can improve prediction accuracy.

摘要

•Introduction of a process-aware and context-sensitive business process prediction technique called CECA-DBN.•We differentiate between cause and effect relations of context information in relation to the process flow.•CECA-DBN is benchmarked against other related prediction techniques and shows that context-sensitivity can improve prediction accuracy.

论文关键词：Predictive process monitoring,Process prediction,Context-sensitivity,Dynamic Bayesian network,Process mining

论文评审过程：Received 16 December 2019, Revised 5 July 2020, Accepted 2 September 2020, Available online 14 September 2020, Version of Record 17 September 2020.

论文官网地址：https://doi.org/10.1016/j.is.2020.101635