Abstract
A real-life event log, taken from a Dutch financial institute, is analyzed using state-of-the-art process mining techniques. The log contains events related to loan/overdraft applications of customers. We propose a hierarchical decomposition of the log into homogenous subsets of cases based on characteristics such as the final decision, offer, and suspicion of fraud. These subsets are used to uncover interesting insights. The event log in its entirety and the homogeneous subsets are analyzed using various process mining techniques. More specifically, we analyze the event log (a) on the resource perspective and the influence of resources on execution/turnaround times of activities, (b) on the control-flow perspective, and (c) for process diagnostics. A dedicated ProM plug-in developed for this challenge allows for a comprehensive analysis of the resource perspective. For the analysis of control-flow and process diagnostics, we use recent, but pre-existing, ProM plug-ins. As the evaluation shows, our mix of techniques is able to uncover many interesting findings and could be used to improve the underlying loan/overdraft application handling process.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Li, J., Bose, R.P.J.C., van der Aalst, W.M.P.: Mining Context-Dependent and Interactive Business Process Maps Using Execution Patterns. In: zur Muehlen, M., Su, J. (eds.) BPM 2010 Workshops. LNBIP, vol. 66, pp. 109–121. Springer, Heidelberg (2011)
Bose, R.P.J.C., van der Aalst, W.M.P.: Process Diagnostics Using Trace Alignment: Opportunities, Issues, and Challenges. Information Systems 37(2), 117–141 (2012)
Bose, R.P.J.C., van der Aalst, W.M.P.: Process Mining Applied to the BPI Challenge 2012: Divide and Conquer While Discerning Resources. Technical Report BPM-12-16, BPMCenter.org (2012), http://bpmcenter.org/wp-content/uploads/reports/2012/BPM-12-16.pdf
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bose, R.P.J.C., van der Aalst, W.M.P. (2013). Process Mining Applied to the BPI Challenge 2012: Divide and Conquer While Discerning Resources. In: La Rosa, M., Soffer, P. (eds) Business Process Management Workshops. BPM 2012. Lecture Notes in Business Information Processing, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36285-9_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-36285-9_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36284-2
Online ISBN: 978-3-642-36285-9
eBook Packages: Computer ScienceComputer Science (R0)