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

作者: Eren Esgin , Pinar Senkul

DOI: 10.1007/978-3-642-21332-8_9

关键词:

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

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