-------- Forwarded Message -------- Subject: [AISWorld] CfP: 15th International Workshop on Business Process Intelligence (BPI'19) Date: Mon, 11 Mar 2019 10:59:03 +0000 From: Jochen De Weerdt jochen.deweerdt@kuleuven.be To: aisworld@lists.aisnet.org aisworld@lists.aisnet.org
Call for Papers
------------------------------------------------------------------------------------------------ 15th International Workshop on Business Process Intelligence (BPI'19) to be held in conjunction with BPM 2019 in Vienna (Austria) September 1-6, 2019 Website: https://feb.kuleuven.be/bpi19 ------------------------------------------------------------------------------------------------
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: 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
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.
=================================================================== Important Dates . Paper submission deadline: May 24, 2019 . Notification of acceptance: June 28, 2019 . Camera ready: July 12, 2019 . Workshop days: September 2, 2019 ===================================================================
Program Committee . Ahmed Awad (Cairo University, Egypt) . Josep Carmona (Universitat Politècnica Catalunya, Spain) . Raffaele Conforti (Queensland University of Technology, 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) . Lijie Wen (Tsinghua University, China) . Wil van der Aalst (RWTH Aachen University, Germany)
On behalf of the organizers,
Jochen De Weerdt (corresponding organizer), KU Leuven Boudewijn van Dongen, Technische Universiteit Eindhoven Jan Claes, Ghent University Andrea Burattin, Technical University of Denmark
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