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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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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.