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A Hybrid Approach to Process Mining: Finding Immediate Successors of a Process by Using From-To Chart
Date
2009-12-15
Author
Esgin, Eren
Karagöz, Pınar
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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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.
Subject Keywords
Event Logs
,
Process Mining
,
Immediate Successor
,
Process Discovery
,
From-to Chart
,
From-to Chart
URI
https://hdl.handle.net/11511/62546
DOI
https://doi.org/10.1109/icmla.2009.107
Collections
Department of Computer Engineering, Conference / Seminar
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E. Esgin and P. Karagöz, “A Hybrid Approach to Process Mining: Finding Immediate Successors of a Process by Using From-To Chart,” 2009, p. 664, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/62546.