Business Process Intelligence (BPI)
Twelfth International Workshop on Business Process Intelligence (BPI’16) to be held in conjunction with BPM’16
Important Dates
Deadline for abstract submissions: | |||
Deadline for workshop paper submissions: |   | ||
Notification of acceptance: | |||
Camera-ready version workshop papers: | 23 July 2016 (Strict deadline) | ||
Workshop Day: | 19 September 2016 | ||
Post-proceedings deadline: |
Workshop Program
The BPI 2016 workshop will be held on 19 September 2016. The accepted papers will be presented during the workshop and authors have 25 minutes for their presentations and 15 minutes for discussion.
At the end of the workshop, the winner for the sixth international Business Process Intelligence Challenge (BPI Challenge) and of the first Process Mining Contest will be announced.
9:00 - 9:10 | Opening | |
9:10 - 9:50 | Lars Ackermann, Stefan Schönig and Stefan Jablonski Simulation of Multi-Perspective Declarative Process Models |
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9:50 - 10:30 | Johannes De Smedt, Claudio Di Ciccio, Jan Mendling and Jan Vanthienen Model Checking of Mixed-Paradigm Process Models in a Discovery Context |
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10:30 - 11:00 | Coffee break | |
11:00 - 11:40 | Jana-Rebecca Rehse and Peter Fettke Mining Reference Process Models from Large Instance Data |
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11:40 - 12:20 | Thomas Vogelgesang, Stefanie Rinderle-Ma and H.-Jürgen Appelrath A Framework for Interactive Multidimensional Process Mining |
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12:20 - 13:00 | Pieter De Koninck and Jochen De Weerdt Multi-objective Trace Clustering: Finding More Balanced Solutions |
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13:00 - 14:00 | Lunch break | |
14:00 - 14:40 | Diogo R. Ferreira and Rui M. Santos Parallelization of Transition Counting for Process Mining on Multi-core CPUs and GPUs |
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14:40 - 15:00 | Announcement PM Contest 2016 | |
15:00 - 15:20 | Presentation by Winner PM Contest 2016 | |
15:20 - 15:30 | Announcement BPI Challenge 2016 | |
15:30 - 16:00 | Coffee break | |
16:00 - 16:20 | Presentation by Winner 1 BPI Challenge 2016 | |
16:20 - 16:40 | Presentation by Winner 2 BPI Challenge 2016 | |
16:40 - 16:45 | Closing of BPI 2016 | |
16:45 - 18:00 | Meeting IEEE Taskforce on Process Mining | |
18:00 onwards | Welcome reception |
Description
Business Process Intelligence is an area that spans process mining (i.e., process discovery, conformance checking, etc.), predictive analytics and many other techniques that are all gaining interest and importance in industry and research. BPI refers to the application of various measurement and analysis techniques in the area of business process management. In practice, BPI is embodied in tools for managing process execution quality by offering several features such as analysis, prediction, monitoring, control, and optimization.
The goal of this workshop is to provide a better understanding and a more appropriate support of company processes at design time and the way they are handled at runtime, focussing on processes in isolation as well as the interplay between many parallel processes both within and between companies.
We aim to bring together practitioners and researchers from different communities such as business process management, information systems research, business administration, software engineering, artificial intelligence, process mining, and data mining who share an interest in the analysis of business processes and process-aware information systems. The workshop aims at discussing the current state of ongoing research and sharing practical experiences.
The list of topics that are relevant to the BPI workshop includes the following, but is not limited to:
Analysis Techniques at design time and/or runtime:
- Mining of business processes from event logs
- Mining of non process aware systems / event streams
- Multi perspective process mining
- Statistical analysis in the business process management lifecycle
- Predictive analytics
- Recommender systems
- Conformance / compliance analysis
- Root cause analysis for process deviations
- Business process visualization
- Visualization of process mining results
- Machine-learning and business processes
- Measurement of business process models and business process modeling
- Information retrieval related to business process management
- Similarity related to processes and cases
- Integration of processes and process models
- Mathematical optimization of business processes
- Simulation of business processes
Applications of such analysis techniques and case studies in:
- Performance Measurement of business processes
- Business Process Reengineering
- Business Process Quality
- Emergent workflows
- Process discovery
- Conformance and risk management for business processes
- Operations Management and Six Sigma
- Data warehousing
- Static and dynamic optimization
- Self-management
- Monitoring of business processes
- Resource Allocation in business processes
- Prediction
- Dynamic composition of business processes
Submission Guidelines
Submitted papers will be evaluated on the basis of significance, originality and technical quality. The length of a paper must not exceed 12 pages, and there is no possibility to buy additional pages. Authors are requested to prepare submissions according to the LNCS/LNBIP format specified by Springer. The title page must contain a short abstract and a classification of the topics covered, preferably using the list of topics above. Papers should be submitted electronically through easychair. Members of an international and solid program committee will review all submissions. Each paper will be reviewed by 3 PC members guaranteeing that only papers presenting high quality and innovative research and practice issues in areas relevant to the workshop theme will be accepted.
Organizers
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 E-mail: b.f.v.dongen@tue.nl URL: http://www.processmining.org | Jan Claes Department of Business Informatics and Operations Management Ghent University Tweekerkenstraat 2, 9000 Gent, Belgium Tel.: +32 9 264 98 31 E-mail: jan.claes@ugent.be URL: http://www.janclaes.info |
Andrea Burattin Institut für Informatik Universität Innsbruck Technikerstraße 21a, 6020 Innsbruck, Austria Tel.: +43 507 512 6474 E-mail: andrea.burattin@uibk.ac.at URL: http://andrea.burattin.net |
Jochen De Weerdt Research Centre for Management Informatics KU Leuven Naamsestraat 69, 3000 Leuven, Belgium Tel.: +32 16 37 62 68 E-mail: Jochen.DeWeerdt@kuleuven.be URL: http://www.jochendeweerdt.be |
The workshop 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/
Steering committee
Barbara Weber Universität Innsbruck, Austria URL: http://qe-informatik.uibk.ac.at |
Ana Karla Alves de Medeiros Centraal Beheer Achmea, The Netherlands URL: http://www.linkedin.com/in/anakarlamedeiros |
Jan Mendling Humboldt University, Germany URL: http://mendling.com |
Michael zur Muehlen
Stevens Institute of Technology, USA URL: http://www.cebpi.org |
Program committee
- Artur Caetano, Universidade de Lisboa, Portugal
- Ana Karla Alves de Medeiros, Centraal Beheer Achmea, The Netherlands
- Diogo R. Ferreira, IST, University of Lisbon, Portugal
- Walid Gaaloul, Insitut Telecom, France
- Gianluigi Greco, University of Calabria, Italy
- Daniela Grigori, Paris-Dauphine University, France
- Antonella Guzzo, University of Calabria, Italy
- Anna Kalenkova, Higher School of Economics, Russia
- Michael Leyer, Frankfurt School of Finance & Management, Germany
- Jan Mendling, Wirtschaftsuniversität Wien, Austria
- Jorge Munoz-Gama, Pontificia Universidad Católica de Chile, Chili
- Viara Popova, Tallinn University of Technology, Estonia
- Manfred Reichert, University of Twente, The Netherlands
- Andreas Rogge-Solti, Wirtschaftsuniversität Wien
- Michael Rosemann, Queensland University of Technology, Australia
- Anne Rozinat, Fluxicon, The Netherlands
- Domenico Sacca, Università degli studi della Calabri, Italy
- Pnina Soffer, University of Haita, Israel
- Alessandro Sperduti, Padua University, Italy
- Suriadi Suriadi, Massey University, New Zealand
- Seppe vanden Broucke, KU Leuven, Belgium
- Wil van der Aalst, Eindhoven University of Technology, The Netherlands
- Eric Verbeek, Eindhoven University of Technology, The Netherlands
- Hans Weigand, University of Tilburg, The Netherlands