Infrequent Behaviour from Business Processes using Process Mining |
Author(s): |
| A. Dayanalizy , Prist University, Thanjavur; G. Gayathri, Prist University, Thanjavur |
Keywords: |
| Process Mining; Event Logs; Business Process Intelligence; Process Cubes |
Abstract |
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Process mining is considered a discipline that contains a set of techniques, algorithms and methods for discovering, monitoring and optimizing business processes through event logs extracted from transactional systems. Based on this discipline, a model is proposed that allows the evaluation of the performance and behaviour of business processes through a set of control metrics. As a result of the model evaluation, six control metrics were analyzed in the logistic process of a Peruvian retail enterprise using ProM Tools for the application of Process Mining techniques and Qlikview for the implementation of the Process Cube and results presentation. |
Other Details |
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Paper ID: IJSRDV6I70090 Published in: Volume : 6, Issue : 7 Publication Date: 01/10/2018 Page(s): 94-99 |
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