-------- Forwarded Message -------- Subject: [AISWorld] SA4PM'21: 2nd International Workshop on Streaming Analytics for Process Mining @ ICPM'21 Date: Fri, 18 Jun 2021 10:48:33 +0000 From: Hassani, Marwan M.Hassani@tue.nl To: aisworld@lists.aisnet.org aisworld@lists.aisnet.org
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SA4PM'21 Call for Papers
---------------------------------------------------------------------------------------------------------------- 2nd International Workshop on Streaming Analytics for Process Mining (SA4PM'21) in conjunction with ICPM 2021, November 1st, 2021, Eindhoven, The Netherlands https://sa4pm.win.tue.nl/2021/ -----------------------------------------------------------------------------------------------------------------
Streaming Process Mining is an emerging area in process mining that spans data mining (e.g. stream data mining; mining time series; evolving graph mining), process mining (e.g. process discovery; conformance checking; predictive analytics; efficient mining of big log data; online feature selection; online outlier detection; concept drift detection; online recommender systems for processes), scalable big data solutions for process mining and the general scope of online event mining. In addition to many other techniques that are all gaining interest and importance in industry and academia.
The SA4PM workshop aims at promoting the use and the development of new techniques to support the analysis of streaming-based processes. We aim at bringing together practitioners and researchers from different communities, e.g. Process Mining, Stream Data Mining, Case Management, Business Process Management, Database Systems and Information Systems who share an interest in online analysis and optimization of business processes and process-aware information systems with time, storage or complexity restrictions. Additionally, SA4PM aims at attracting research results on scalable algorithmic process mining solutions in general given that the work addresses how would such efficient solution function under streaming settings. The workshop aims at discussing the current state of ongoing research and sharing practical experiences, exchanging ideas and setting up future research directions.
The list of topics that are relevant to the SA4PM workshop includes, but is not limited to:
* Novel Algorithms for Stream-Based Process Discovery * Novel Algorithms for Stream-Based Conformance Checking * Novel Algorithms for Stream-Based Compliance Checking * Online Predictive Analytics * Online Recommender Systems * Online Case-Adaptation Techniques * Online Decision Mining * Online Recommender Systems for Processes * Real-Time Process Mining * Online Concept Drift Detection * Online Outlier Detection * Algorithmic Solutions for Process Mining & Big Data * Streaming Feature Selection Methods for High-Dimensional Log Files * Streaming Trace Clustering Methods * Architectures for Distributed Process Mining (from algorithmic perspective) * Architectures for Distributed Storage of Event Data * Adoption of Process Mining in Scalable Big Data/Streaming Solution (e.g. Apache Hadoop/Spark) * Leveraging Scalable Process Mining Solutions to Online Settings * Evaluation Methods of Streaming Process Mining Algorithms * Visualization Methods for Streaming Process Mining Results * Applications/Case-Studies of the Application of Online Process Mining * Process Monitoring * Online Event Mining * Graph Evolution Mining Methods for Process Mining * Time Series Mining Methods for Process Mining * Methodological Aspects of Online Process Mining * Fundamental Aspects of Online Process Mining.
Submitted papers will be evaluated on the basis of significance, originality and technical quality. Authors are requested to prepare submissions according to the LNBIP proceedings. The page limit is set to 12 pages. 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.
Submitters are required to indicate if their data and software is publically available and if so, where and if not, why. 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
* Workshop paper abstract submission deadline: August 19, 2021 * Workshop paper submission deadline: August 26, 2021 * Paper notification: September 16, 2021 * Camera ready: September 30, 2021 * Workshop day: November 1, 2021
Organizers
* Marwan Hassani, Technische Universiteit Eindhoven * Andrea Burattin, Technical University of Denmark * Thomas Seidl, Ludwig-Maximilians-Universität München * Sebastiaan van Zelst, Fraunhofer Institute for Applied Information Technology
Program Committee
* Agnes Koschmider, Kiel University, Germany * Ahmed Awad, University of Tartu, Estonia * Eric Verbeek, Eindhoven University of Technology, The Netherlands * Felix Mannhardt, Eindhoven University of Technology, The Netherlands * Florian Richter, Ludwig-Maximilians-Universität München, Germany * Francesco Folino, ICAR -CNR, Italy * Frederic Stahl, German Research Center for Artificial Intelligence (DFKI), Germany * Jochen De Weerdt, KU Leuven, Belgium * Matthias Weidlich, Humboldt-Universität zu Berlin, Germany * Marco Comuzzi, UNIST, Korea * Mohamed Medhat Gaber, Bermingham City University, UK * Stefanie Rinderle-Ma, University of Vienna, Austria