12th International Workshop on Business Process Intelligence 2016

to be held in conjunction with BPM 2016 Rio de Janeiro, Brasil, September 18 - 22, 2016

BPI 2016

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: 27 May 2016 6 June 2016
Deadline for workshop paper submissions: 27 May 2016 6 June 2016  
Notification of acceptance: 27 June 2016 4 July 2016
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
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
10:30 - 11:00 Coffee break
11:00 - 11:40 Jana-Rebecca Rehse and Peter Fettke
Mining Reference Process Models from Large Instance Data
11:40 - 12:20 Thomas Vogelgesang, Stefanie Rinderle-Ma and H.-Jürgen Appelrath
A Framework for Interactive Multidimensional Process Mining
12:20 - 13:00 Pieter De Koninck and Jochen De Weerdt
Multi-objective Trace Clustering: Finding More Balanced Solutions
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
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


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.


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

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