13th International Workshop on Business Process Intelligence 2017

to be held in conjunction with BPM 2017 Barcelona, Spain, September 10 - 15, 2017

BPI 2017 BPI 2017

Business Process Intelligence (BPI)

Thirteenth International Workshop on Business Process Intelligence (BPI’17) to be held in conjunction with BPM’17

This year's BPI Workshop is a two day event, featuring:

  • The presentation of interesting research papers in the BPI domain,
  • The BPI Challenge 2017, where we revisit the well-known process of 2012, five years later,
  • The IEEE Task Force meeting, and
  • The Process Mining Reception

The workshop is sponsored by Siav, one of the main italian IT companies which develops and delivers solutions for the Enterprise Content Management market, with software products for Enterprise File Sync & Share (BlueDrive), Document and Workflow Management (Archiflow), Long Term Retention and Preservation (Virgilio).

Important Dates

Deadline for abstract submissions: 19 May 2017 29 May 2017
Deadline for workshop paper submissions: 26 May 2017 5 June 2017
Notification of acceptance: 26 July 2017
Camera-ready version workshop papers: 7 July 2017 (Strict deadline)
Workshop Days: 10-11 September 2017
Post-proceedings deadline:

Workshop Program

The BPI 2017 workshop will be held on 10 - 11 September 2017 in Barcelona, Spain. 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 seventh international Business Process Intelligence Challenge (BPI Challenge) and of the second Process Discovery Contest will be announced.

Sunday 10 september 2017
14:00 - 14:45 Andrea Burattin; Josep Carmona
A Framework for Online Conformance Checking
14:45 - 15:30 Alifah Syamsiyah; Boudewijn F. van Dongen; Wil van der Aalst
Recurrent Process Mining with Live Event Data
15:30 - 16:00 Coffee break
16:00 - 16:45 David Sanchez-Charles; Josep Carmona; Victor Muntés-Mulero; Marc Solé
Reducing Event Variability in Logs by Clustering of Word Embeddings
16:45 - 17:30 Marie Koorneef; Andreas Solti; Henrik Leopold; Hajo A. Reijers
Automatic Root Cause Identification Using Most Probable Alignments
18:30 onwards Welcome reception
Monday 11 september 2017
9:00 - 9:45 Mohammadreza Fani Sani; Sebastiaan J. van Zelst; Wil van der Aalst
Improving Process Discovery Results by Filtering Outliers using Conditional Behavioural Probabilities
9:45 - 10:30 Alexander Seeliger; Michael Stein; Max Mühlhäuse
Can We Find Better Process Models? Process Model Improvement via Motif-based Graph Adaptation
10:30 - 11:00 Coffee break
11:00 - 12:30 Announcement BPI Challenge - PM Contest 2016
12:30 - 14:00 Lunch break
14:00 - 14:45 Galina Deeva; Johannes De Smedt; Pieter De Koninck; Jochen De Weerdt
Dropout prediction in MOOCs: a comparison between process and sequence mining
14:45 - 15:30 Jana-Rebecca Rehse; Peter Fettke; Peter Loos
Process Mining and the Black Swan: An Empirical Analysis of the Influence of Unobserved Behavior on the Quality of Mined Process Models
15:30 - 16:00 Coffee break
16:00 - 17:30 Meeting IEEE Taskforce on Process Mining


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 two-day 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.

About Siav

Siav, one of the main italian IT companies, develops and delivers solutions for the Enterprise Content Management market, with software products for Enterprise File Sync & Share (BlueDrive), Document and Workflow Management (Archiflow), Long Term Retention and Preservation (Virgilio). Our software solutions and BPO services allow private and public organizations to manage all the lifecycle of their documents and contents, to simplify their business processes, to cut their costs, using applications on premises, in full outsourcing or through hybrid solutions. Siav headquarter is in Rubano (Padova), with branches in Rome, Milan, Genoa and Bologna, with more than 160 employees, including the development department and the R&D laboratory, which cooperates with Universities and Research Institutes. Siav has been Included for seven years in the Gartner’s ECM Magic Quadrant, and it’s among the first organizations certified by Agenzia per l’Italia Digitale as Long Term Preservation outsourcer. Siav has more than 3.000 deployed applications, both on private and public market. Some references are: Banca D’Italia, Consob, ENAC, IVASS, Ospedale San Raffaele, Artsana, Ermenegildo Zegna, Granarolo, Kerakoll, Marcegaglia, Roquette, Unipol Banca, Bolton Group.


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 35 19
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
Technical University of Denmark, Denmark
URL: http://www.dtu.dk/
Ana Karla Alves de Medeiros
Centraal Beheer Achmea, The Netherlands
URL: http://www.linkedin.com/in/anakarlamedeiros
Jan Mendling
Vienna University of Economics and Business, Austria
URL: https://www.wu.ac.at/
Michael zur Muehlen
Stevens Institute of Technology, USA
URL: http://www.cebpi.org

Program committee

  • Joos Buijs, Eindhoven University of Technology, The Netherlands
  • Josep Carmona, Universitat Politècnica de Catalunya, Spain
  • Raffaele Conforti, Queensland University of Technology, Australia
  • Benoit Depaire, Hasselt University, Belgium
  • Johannes De Smedt, KU Leuven, Belgium
  • Claudio Di Ciccio, WU Vienna, Austria
  • Chiara Di Francescomarino, Fondazione Bruno Kessler, Italy
  • Marlon Dumas, University of Tartu, Estonia
  • Diogo R. Ferreira, IST, University of Lisbon, Portugal
  • Gianluigi Greco, University of Calabria, Italy
  • Daniela Grigori, Paris-Dauphine University, France
  • Mieke Jans, Hasselt University, Belgium
  • Gert Janssenswillen, Hasselt University, Belgium
  • Toon Jouck, Hasselt University, Belgium
  • Anna Kalenkova, Higher School of Economics, Russia
  • Sander Leemans, Queensland University of Technology, Australia
  • Michael Leyer, Frankfurt School of Finance & Management, Germany
  • Fabrizio Maggi, University of Tartu, Estonia
  • Jan Mendling, Wirtschaftsuniversität Wien, Austria
  • Steven Mertens, Ghent University, Belgium
  • Jorge Munoz-Gama, Pontificia Universidad Católica de Chile, Chili
  • Manfred Reichert, University of Twente, The Netherlands
  • Andreas Rogge-Solti, Wirtschaftsuniversität Wien                         
  • Pnina Soffer, University of Haita, Israel
  • Seppe vanden Broucke, KU Leuven, Belgium
  • Eric Verbeek, Eindhoven University of Technology, The Netherlands
  • Matthias Weidlich, Humboldt-Universität zu Berlin, Germany
  • Hans Weigand, University of Tilburg, The Netherlands
  • Lijie Wen, Tsinghua University, China

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