Extracting Connection Types in Process Models Discovered by Using From-to Chart Based Approach

Date

2011-07-01

Author

Esgin, Eren
Karagöz, Pınar

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Although contemporary information systems are intensively utilized in enterprises, their actual impact in automating complex business process is still constrained by the difficulties coincided in design phase. In this study, a hybrid data analysis methodology to business process modeling that is based on using from-to chart is further enhanced to discover connection types and include in the process model. From-to chart is basically used as the front-end to figure out the observed transitions among the activities in event logs. The derived raw patterns are converted into activity sequence on from-to chart by using Genetic Algorithms. Finally a process model including AND/OR connection types is constructed on the basis of this activity sequence.

Subject Keywords

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

URI

https://hdl.handle.net/11511/62445

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

E. Esgin and P. Karagöz, “Extracting Connection Types in Process Models Discovered by Using From-to Chart Based Approach,” 2011, vol. 363, p. 59, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/62445.