A Hybrid Approach to Process Mining: Finding Immediate Successors of a Process by Using From-To Chart

Authors:
Eren Esgin;Pinar Senkul
Affiliations:
-;-
Venue:
ICMLA '09 Proceedings of the 2009 International Conference on Machine Learning and Applications
Year:
2009

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Abstract

Process mining is a branch of data mining that aims to discover process model from the event logs. In this study, we propose a hybrid approach to process mining in such a way that, "from-to chart" is used as the frontend to monitor the transitions among activities of a realistic event log. Another novelty of this study is developed evaluation metrics, which are used for finding immediate successors in order to convert these raw relations into dependency/frequency graph.