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