Abstract
Process Mining is one research area to find useful information from various processes in business execution log data. As BPMS, ERP, SCM, etc so called process recognizing information system are widely spread, process mining research are getting emphasis recently. Also execution log data of one enterprise are frequently utilized for checking current status of management or analysis of resource efficiency. But since analysis result depends on measurement criteria and method, it is very important to select systematic process mining algorithm based on business model or enterprise strategy. In this paper many process mining techniques are introduced and compared using process mining tool, ProM.
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© 2012 Springer-Verlag Berlin Heidelberg
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Bae, J., Kang, Y.K. (2012). Case of Process Mining from Business Execution Log Data. In: Watada, J., Watanabe, T., Phillips-Wren, G., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29977-3_42
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DOI: https://doi.org/10.1007/978-3-642-29977-3_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29976-6
Online ISBN: 978-3-642-29977-3
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