Process mining applied to the BPI Challenge 2012 : divide and conquer while discerning resources

R.P. Jagadeesh Chandra Bose, W.M.P. Aalst, van der

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)
17 Downloads (Pure)


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.
Original languageEnglish
Title of host publicationBusiness Process Management Workshops : BPM 2012 International Workshops, Tallinn, Estonia, September 3, 2012. Revised Papers
EditorsM. La Rosa, P. Soffer
Place of PublicationBerlin
ISBN (Print)978-3-642-36284-2
Publication statusPublished - 2013
Event8th International Workshop on Business Process Intelligence (BPI 2012) - Tallinn, Estonia
Duration: 3 Sept 20123 Sept 2012
Conference number: 8

Publication series

NameLecture Notes in Business Information Processing
ISSN (Print)1865-1348


Workshop8th International Workshop on Business Process Intelligence (BPI 2012)
Abbreviated titleBPI 2012
OtherWorkshop held in conjunction with the 10th International Conference on Business Process Management (BPM 2012)


Dive into the research topics of 'Process mining applied to the BPI Challenge 2012 : divide and conquer while discerning resources'. Together they form a unique fingerprint.

Cite this