SA4PM 2022

Call for Papers

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.

After a very successful two runs on this workshop together with ICPM 2020 in ICPM 2021, this workshop aims at further 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. 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
  • 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)
  • 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 format of the Lecture Notes in Business Information Processing (LNBIP) series by Springer (http://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0). Submissions must be in English and must not exceed 12 pages (including figures, bibliography and appendices).  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 publicly 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

  • Workshop abstract submission deadline: August 10, August 17, 2022
  • Workshop paper submission deadline: August 17, August 24, 2022
  • Paper notification: September 14, 2022
  • Pre-Workshop Camera ready: October 5, 2022
  • Workshop day: October 24, 2022
    All deadlines correspond to anywhere on earth (‘AoE’ or ‘UTC-12′)

Program Committee

  • Agnes Koschmider, Kiel University, Germany
  • Ahmed Awad, University of Tartu, Estonia
  • Boudewijn van Dongen, Eindhoven University of Technology, The Netherlands
  • Eric Verbeek, Eindhoven University of Technology, The Netherlands
  • Francesco Folino, ICAR -CNR, Italy
  • Jochen De Weerdt, KU Leuven, Belgium
  • Massimiliano de Leoni, University of Padua, Italy
  • Marco Comuzzi, UNIST, Korea

Organizers