Reliable Predictive Process Monitoring

This collection comprises the two synthetic datasets for the assessment of the reliability of predictive process monitoring techniques used in Klinkmüller, C., van Beest, N., Weber, I.: Towards Reliable Predictive Process Monitoring. CAiSE Forum, 2018.\n\nThe two datasets are provided as XES-files. For more information on the Extensible Event Stream (XES) standard see http://www.xes-standard.org. \n\nThe classes for each traces are captured via the "concept:name" sub-element. Additionally, for each trace the "classifiableFrom" sub-element records the minimum number of events that must be observed for the trace to be classifiable. More information regarding the notion of classifiability is provided in the paper.\nLineage: The data was automatically generated by a Java program that was developed and configured by the authors of the respective paper.