bpi21

Business Process Intelligence Workshop 2021 (BPI'21)

Held in conjunction with BPM 2021, Rome, Italy, 6-10 September 2021

Workshop theme: The BPI Workshop is a regular one day workshop at BPM. 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.

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Important Dates

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Workshop Location

The BPI'21 workshop will be held in conjunction with BPM 2021 in Rome, Italy. 

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Workshop Program

Monday September 6

• 09.00am - 09.05am: Opening
• 09.05am - 10.00am: Keynote - Prof. Boudewijn van Dongen: "Conformance Checking: A Systemic View"
• 10.00am - 10.30am: May I Take Your Order? On the Interplay Between Time and Order in Process Mining by Wil van der Aalst and Luis Santos (pdf)
• 10.30am - 11.00am: Attribute-driven Case Notion Discovery for Unlabeled Event Logs by Tom Lichtenstein, Dorina Bano and Mathias Weske (pdf)

Short break

• 11.30am -12.00pm: A Distance Measure for Privacy-preserving Process Mining based on Feature Learning by Fabian Rösel, Stephan Fahrenkrog-Petersen, Han van der Aa and Matthias Weidlich (pdf)
• 12.00pm - 12.30pm: Demystifying Noise and Outliers in Event logs: Review and Future Directions by Agnes Koschmider, Kay Kaczmarek, Mathias Krause and Sebastiaan J. van Zelst (pdf)
• 12.30pm - 13.00pm: Towards Understanding the Role of the Human in Event Log Extraction by Vinicius Stein Dani, Henrik Leopold, Jan Martijn E. M. van der Werf, Xixi Lu, Iris Beerepoot, Jelmer J. Koorn and Hajo A. Reijers (pdf)

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Description

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. 

Topics of interest

The list of topics that are relevant to the BPI workshop includes, but is not limited to: 

Development of 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
• 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

Managerial aspects of business process intelligence techniques:

• Process mining methodologies
• Business value of process intelligence
• Process intelligence strategy implications
• Make vs. buy decisions in process intelligence
• Strategy frameworks for process intelligence
• Organizational culture and process intelligence
• Governance of process intelligence

Applications of BPI 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

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Submission

Submitted papers will be evaluated on the basis of significance, originality and technical quality. Authors are requested to prepare submissions according to the LNCS/LNBIP format specified by Springer. Papers exceeding the page limit of 12 pages (including references) will be automatically rejected. Papers should clearly establish the research contribution and the relation to previous research. The submission should clearly emphasize the discussion aspects relevant to the workshop. Members of an international and solid program committee will review all submissions. Please note that acceptance rate will be less than or equal to 50%, in line with Springer’s workshop proceedings policy. Inclusion of your paper in the proceedings is conditional to the unique registration of at least one author per paper. 

As in previous years, researchers are required to indicate if their data and software is publically available and if so, where and if not, why not. Sharing both data and software is important for the development of the research area as a whole. We expect this low-impact demand will increase the visibility of our work and the availability of data and software to other researchers.
 

Papers are submitted electronically through EasyChair (Please submit to the Workshop on Business Process Intelligence):

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Organizers

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Program Committee

• Ahmed Awad (Universit of Tartu, Estonia)
• Johannes De Smedt (KU Leuven, Belgium)
• Benoit Depaire (Universiteit Hasselt, Belgium)
• Claudio Di Ciccio (Sapienza University of Rome, Italy)
• Chiara Di Francescomarino (Fondazione Bruno Kessler – IRST, Italy)
• Luciano García-Bañuelos (Tecnologico de Monterrey, Mexico)
• Gianluigi Greco (University of Calabria, Italy)
• Gert Janssenswillen (Universiteit Hasselt, Belgium)
• Anna Kalenkova (University of Melbourne, Australia)
• Sander Leemans (Queensland University of Technology, Australia)
• Michael Leyer (University of Rostock, Germany)
• Fabrizio Maggi (Free University of Bozen-Bolzano, Italy)
• Jorge Munoz-Gama (Pontificia Universidad Católica de Chile, Chile)
• Marco Pegoraro (RWTH Aachen University, Germany)
• Pnina Soffer (University of Haifa, Israel)
• Seppe vanden Broucke (Ghent University, Belgium)
• Eric Verbeek (Eindhoven University of Technology, The Netherlands)
• Matthias Weidlich (Humboldt-Universität zu Berlin, Germany)
• Hans Weigand (Tilburg University, The Netherlands)
• Han van der Aa (University of Mannheim, Germany)
• Wil van der Aalst (RWTH Aachen University, Germany)
• Boudewijn van Dongen (Eindhoven University of Technology, The Netherlands)
• Bas van Zelst (RWTH Aachen University, Germany)

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