Business Processing Intelligence Challenge (BPIC)
First International Business Process Intelligence Challenge (BPIC’11)
In this challenge, we provide participants with a real-life event log, and we ask them to analyze these data using whatever techniques available, documenting their findings in one of two ways:
- The participants can focus on a specific aspect of interest and analyze this aspect in great detail. Here, one can choose for example to focus on specific models, such as control-flow models, social network models, performance models, predictive models, etc.
- The participants may report on a broader range of aspects, where each aspect does not have to be developed in full detail. The report submitted in this category will be judged on its completeness of analysis and usefulness for the purpose of a real-life business improvement setting.
A jury will decide which report is best and the winning participant in each category will receive an Apple i-Pad as prize!
We strongly encourage people to use any tools, techniques, methods at their disposal. There is no need to restrict to open-source tools, and proprietary tools as well as techniques developed or implemented specifically for this challenge are welcome.
The winner in each of the two categories will be announced at the Workshop on August 29th 2011.
Event Log
We have prepared a real-life log, taken from a Dutch Academic Hospital. This log contains some 150.000 events in over 1100 cases. Apart from some anonymization, the log contains all data as it came from the Hospital's systems. Each case is a patient of a Gynaecology department. The log contains information about when certain activities took place, which group performed the activity and so on. Many attributes have been recorded that are relevant to the process. Some attributes are repeated more than once for a patient, indicating that this patient went through different (maybe overlapping) phases, where a phase consists of the combination Diagnosis & Treatment.
The log is provided in XES format (2.3 MB), in MXML format (3.4 MB) and as a CSV file (1.9 MB). The XES format is a standard defined by the IEEE task force on process mining. For details on the XES format, please look here.
For referencing purposes, the log file has a DOI doi:10.4121/uuid:d9769f3d-0ab0-4fb8-803b-0d1120ffcf54 and can be found in the 3TU Datacenter. Please use this DOI in any reference to the dataset.
Results
Three submissions arrived and were judged by the jury. The jury unanimously ranked them in the following order:
- J.C. Bose and W.M.P. van der Aalst Analysis of Patient Treatment Procedures
- F. Caron, J. Vanthienen, J. De Weerdt and B. Baesens Beyond X-Raying a Case-Flow: Adopting Different Focuses on Care-Flow Mining
- G. Varvaressos Semantic Process Mining
Sponsors
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Pallas Athena Pallas Athena is a world-leading Business Process Management Software (BPM) and Solutions provider. Their innovative software platforms and user-friendly designs are well known and recognized throughout the industry. |
 http://www.pallas-athena.com/ |
Futura Process Intelligence Futura Process Intelligence offers a range of consulting services in the area of Process Intelligence and Process Mining. Their surprise analysis provides a global view on a process in a very short period of time, while their bottleneck quickscan goes deeper into specific aspects of the process. |
 http://www.futuratech.nl/ |
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Fluxicon - Process mining for professionals The process mining technology in Fluxicon's products can automatically create smart flow diagrams of your process. All you need are event logs that are already on your IT systems. Because our products work with this objective information, you no longer need to rely on belief or hearsay — you will know what's going on. |
 http://www.fluxicon.com/ |
Submission guide
Submissions should be made by e-mail to: b.f.v.dongen@tue.nl. A submission should contain a pdf report of at most 30 pages, including figures, using the LNCS/LNBIP format (http://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0) specified by Springer (available for both LaTeX and MS Word). Appendices may be included, but should only support the main text. The submitted reports will be published online at the challenge website.
Important Dates
| Report submission deadline: | |
| Announcement of winners: | at the 7th Workshop on Business Process Intelligence (BPI 11), |
| Clermont-Ferrand, France, August 29th 2011 |
Organizers
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Boudewijn van Dongen (Corresponding Organizer) Department of Mathematics and Computer Science Eindhoven University of Technology P.O. Box 513, 5600 MB, Eindhoven, The Netherlands Tel: +31 40 247 2181 Fax: +31 40 246 3992 E-mail: b.f.v.dongen@tue.nl URL: http://www.processmining.org/ |
Diogo R. Ferreira IST – Technical University of Lisbon Avenida Prof. Dr. Cavaco Silva 2744-016 Porto Salvo Portugal Tel.: +351 21 423 35 52 E-mail: diogo.ferreira@tagus.ist.utl.pt URL: http://web.tagus.ist.utl.pt/~diogo.ferreira/ |
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Barbara Weber Institut für Informatik Universität Innsbruck Technikerstraße 21a, 6020 Innsbruck Tel.: +43 507 512 6474 Fax: +43 507 512 9871 E-mail: Barbara.Weber@uibk.ac.at URL: http://qe-informatik.uibk.ac.at |
The challenge is co-organized by the IEEE Task Force on Process Mining. The goal of this Task Force is to promote the research, development, education and understanding of process mining. For more information about the activities of the IEEE Task Force on Process Mining and its members see https://www.win.tue.nl/ieeetfpm/
Jury (tentative)
- Peter van den Brand, Futura Technology, The Netherlands
- Andrea Burattin, Padua University, Italy
- Boudewijn van Dongen, Eindhoven University of Technology, The Netherlands
- Diogo R. Ferreira, Technical University of Lisbon, Portugal
- Christian Guenther, Fluxicon, The Netherlands
- John Hoogland, Pallas Athena, The Netherlands
- Marcello La Rosa, Queensland University of Technology, Australia
- Keith Swenson, Fujitsu America, United States
- Barbara Weber, University of Innsbruck, Austria
- Lijie Wen, Tshingua School of Software, China
- Mystery judge, process owner, The Netherlands.