Abstract
Business analysis with processes extracted from real-life system logs has recently become important for improving business performance. Since business users desire to see the current situations of business with visualized process models from various perspective, we need an analysis platform that supports changes of viewpoint. We have developed a runtime monitoring framework for log analysis. Our framework can simultaneously extract process instances and derive appropriate metrics in a single pass through the logs. We tested our proposed framework with a real-life system log. The results for twenty days of data show synthesized process models along with an analysis axis. They were synthesized from the metric-annotated process instances generated by our framework.
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Abe, M., Kudo, M. (2014). Business Monitoring Framework for Process Discovery with Real-Life Logs. In: Sadiq, S., Soffer, P., Völzer, H. (eds) Business Process Management. BPM 2014. Lecture Notes in Computer Science, vol 8659. Springer, Cham. https://doi.org/10.1007/978-3-319-10172-9_30
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DOI: https://doi.org/10.1007/978-3-319-10172-9_30
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10171-2
Online ISBN: 978-3-319-10172-9
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