14th International Workshop on Business Process Intelligence 2018

to be held in conjunction with BPM 2018 Sydney, Australia, September 9 - 14, 2018

Business Process Intelligence (BPI)

Fourteenth International Workshop on Business Process Intelligence (BPI’18) to be held in conjunction with BPM’18

This year's BPI Workshop is a one day event focusing particularly on process mining in the context of big data. The workshop has a long tradition at the BPM conference and will, as before, be featuring:
  • The presentation of interesting research papers in the BPI domain,
  • The BPI Challenge 2018, with data provided by the German company Data Experts,
  • The IEEE Task Force meeting, and
  • The Process Mining Reception
The workshop is sponsored by the NWO DeLiBiDa project. This project aims at developing new process mining techniques that are able to deal with huge event logs recorded for processes executed in possibly highly variable and heterogeneous contexts.

Important Dates

Deadline for abstract submissions: 25 May 2018 8 June 2018
Deadline for workshop paper submissions: 25 May 2018 8 June 2018
Notification of acceptance: 26 June 2018
Camera-ready version workshop papers: 13 July 2018 (Strict deadline)
Workshop Day: 10 September 2018
Post-proceedings deadline:

Workshop Program

The BPI 2018 workshop will be held on 10th September 2018 in Sydney, Australia. The accepted papers will be presented during the workshop and authors have ample time for their presentations and discussion.

At the end of the workshop, the winner for the international Business Process Intelligence Challenge (BPI Challenge) will be announced.

Monday 10 september 2018
9:00 - 9:05 Opening
9:05 - 9:45 Jana-Rebecca Rehse and Peter Fettke.
Clustering Business Process Activities for Identifying Reference Model Components
9:50 - 10:30 Maikel van Eck, Natalia Sidorova and Wil van der Aalst.
Multi-Instance Mining: Discovering Synchronisation in Artifact-Centric Processes
10:30 - 11:00 Coffee break
11:00 - 11:40 Wai Lam Jonathan Lee, Jorge Munoz-Gama, H.M.W. Verbeek, Wil M.P. van der Aalst and Marcos Sepúlveda.
Improving merging conditions for recomposing conformance checking
11:45 - 12:25 Boudewijn van Dongen.
Efficiently Computing Alignments - Algorithm and Datastructures
12:30 - 14:00 Lunch break
14:00 - 14:40 Galina Deeva and Jochen De Weerdt.
Understanding automated feedback in learning processes by mining local patterns
14:45 - 15:00 Announcement BPI Challenge Winners
15:00 - 15:30 BPI Challenge professional winner
15:30 - 16:00 Coffee break
16:00 - 16:30 BPI Challenge academic winner
16:30 - 17:00 BPI Challenge student winner
17:00 - 17:00 Workshop closing
17:00 - 18:00 Meeting IEEE Task Force on Process Mining
19:00 onwards Welcome reception


Business Process Intelligence (BPI) refers to the application of data- and process-mining techniques in the field of Business Process Management. BPI is an area that spans process mining, process discovery, conformance checking, predictive analytics and many other techniques that are all gaining interest and importance in industry and research. In practice, BPI is embodied in tools for managing process execution by offering several features such as analysis, prediction, monitoring, control, and optimization.

The workshop aims at discussing the current state of ongoing research and sharing practical experiences, exchanging ideas and setting up future research directions. We aim to bring together practitioners and researchers from different communities such as business process management, information systems, 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 list of topics that are relevant to the BPI workshop includes, but is not limited to:

Data-driven 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
  • Decision mining
  • Conformance / compliance analysis
  • Root cause analysis for process deviations
  • Vizualization 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: https://www.win.tue.nl/ais

Jan Claes
Department of Business Informatics and Operations Management
Ghent University
Tweekerkenstraat 2, 9000 Gent, Belgium
Tel.: +32 9 264 35 19
E-mail: jan.claes@ugent.be
URL: http://www.janclaes.info
Andrea Burattin
Department of Applied Mathematics and Computer Science
Technical University of Denmark
E-mail: andbur@dtu.dk
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/

Program committee


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