Event Abstraction for Process Mining using Supervised Learning Techniques

@article{Tax2016EventAF,
  title={Event Abstraction for Process Mining using Supervised Learning Techniques},
  author={Niek Tax and Natalia Sidorova and Reinder Haakma and Wil M. P. van der Aalst},
  journal={CoRR},
  year={2016},
  volume={abs/1606.07283}
}
Process mining techniques focus on extracting insight in processes from event logs. In many cases, events recorded in the event log are too fine-grained, causing process discovery algorithms to discover incomprehensible process models or process models that are not representative of the event log. We show that when process discovery algorithms are only able to discover an unrepresentative process model from a low-level event log, structure in the process can in some cases still be discovered by… CONTINUE READING
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