bpi19

Business Process Intelligence Workshop 2019 (BPI'19)

Held in conjunction with BPM 2019, Vienna, Austria, 1-6 September 2019

Workshop theme: This year's BPI Workshop will return as 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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Special Issue: Computing

A selection of best papers will be invited to a special issue on Business Process Intelligence to be published in the Computing journal. For the CfP, see here. 

Workshop Location

The BPI'19 workshop will be held in conjunction with BPM 2019 in Vienna, Austria. 

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Workshop Program

9.00-10.30

• Opening by the organizers
• Arava Tsoury, Pnina Soffer and Iris Reinhartz-Berger: Impact-Aware Conformance Checking.
• Mathilde Boltenhagen, Thomas Chatain and Josep Carmona: Encoding Conformance Checking Artefacts in SAT.

11.00-12.30

• Eva Klijn and Dirk Fahland: Performance Mining for Batch Processing Using the Performance Spectrum.
• Florian Richter, Ludwig Zellner, Imen Azaiz, David Winkel and Thomas Seidl: LIProMa: Label-Independent Process Matching.
• Chiao-Yun Li, Sebastiaan van Zelst and Wil van der Aalst: A Generic Approach for Process Performance Analysis using Bipartite Graph Matching.

14.00-15.30

• Leen Jooken, Mathijs Creemers and Mieke Jans: Extracting a collaboration model from VCS logs based on process mining techniques.
• Lisa Luise Mannel and Wil van der Aalst: Finding Uniwired Petri Nets Using eST-Miner.
• Marco Pegoraro, Merih Seran Uysal and Wil van der Aalst: Discovering Process Models from Uncertain Event Data.

16.00-17.30

• Iezalde F. Lopes and Diogo R. Ferreira: A Survey of Process Mining Competitions: the BPI Challenges 2011–2018.
• Björn Rafn Gunnarsson, Seppe Vanden Broucke and Jochen De Weerdt: Predictive Process Monitoring in Operational Logistics: A Case Study in Aviation.
• Closing Notes and Discussion 

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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. 

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 (tentative)

• Ahmed Awad (Cairo University, Egypt)
• Josep Carmona (Universitat Politècnica Catalunya, Spain)
• Raffaele Conforti (The University of Melbourne, Australia)
• Johannes De Smedt (The University of Edinburgh, UK)
• Benoit Depaire (Universiteit Hasselt, Belgium)
• Claudio Di Ciccio (Vienna University of Economics and Business, Austria)
• Luciano García-Bañuelos (University of Tartu, Estonia)
• Gianluigi Greco (University of Calabria, Italy)
• Gert Janssenswillen (Universiteit Hasselt, Belgium)
• Anna Kalenkova (Higher School of Economics, Russia)
• Michael Leyer (University of Rostock, Germany)
• Fabrizio Maggi (University of Tartu, Estonia)
• Jorge Munoz-Gama (Pontificia Universidad Católica de Chile, Chile)
• Pnina Soffer (University of Haifa, Israel)
• Suriadi Suriadi (Queensland University of Technology, Australia)
• Seppe vanden Broucke (KU Leuven, Belgium)
• Eric Verbeek (Eindhoven University of Technology, The Netherlands
• Matthias Weidlich (Humboldt-Universität zu Berlin, Germany)
• Hans Weigand (Tilburg University, The Netherlands)
• Lieje Wen (Tsinghua University, China)
• Wil van der Aalst (RWTH Aachen University, Germany)

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