From knowledge-driven to data-driven inter-case feature encoding in predictive process monitoring

作者：

Highlights：

• A data-driven approach for inter-case feature encoding.

• K-nearest neighbors like approach for measuring distances between cases.

• An experimental evaluation with a real-life event logs.

摘要

•A data-driven approach for inter-case feature encoding.•K-nearest neighbors like approach for measuring distances between cases.•An experimental evaluation with a real-life event logs.

论文关键词：Predictive process monitoring,Inter-case predictions,Knowledge-driven encoding,Data-driven encoding

论文评审过程：Received 22 January 2018, Revised 12 October 2018, Accepted 15 January 2019, Available online 21 January 2019, Version of Record 18 June 2019.

论文官网地址：https://doi.org/10.1016/j.is.2019.01.007