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

Esgin, Eren
Karagöz, Pınar
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 front-end 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.