A Hybrid Approach for Process Mining Using From to Chart Arranged by Genetic Algorithms LNCS San Sebastian Spain June 2010

Date

2010-06-18

Author

Esgin, Eren
Karagöz, Pınar

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In the scope of this study, a hybrid data analysis methodology to business process modeling is proposed in such a way that; From-to Chart, which is basically used as the front-end to figure out the observed patterns among the activities at realistic event logs, is rearranged by Genetic Algorithms to convert these derived raw relations into activity sequence. According to experimental results, acceptably good (sub-optimal or optimal) solutions are obtained for relatively complex business processes at a reasonable processing time period.

Subject Keywords

From-to chart, Genetic algorithms (GA), Process mining, Business Process Modeling (BPM), Event logs

URI

https://hdl.handle.net/11511/49033

DOI

https://doi.org/10.1007/978-3-642-13769-3_22

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

E. Esgin and P. Karagöz, “A Hybrid Approach for Process Mining Using From to Chart Arranged by Genetic Algorithms LNCS San Sebastian Spain June 2010,” 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/49033.