International Workshop on Data-Driven Process Discovery and Analysis

Scope

The workshop provides a unique opportunity to present new approaches and research results to researchers and practitioners working in business process data modeling, representation and privacy-aware analysis. All papers must be original contributions, not previously published or under review for publication elsewhere. All contributions must be written in English. A special session will be dedicated to discuss research plan from PhD students.

Topics for the workshop include, but are not limited to:

  • Business Process modeling languages, notations and methods
  • Data-aware and data-centric approaches
  • Variability and configuration of process models
  • Process Mining with Big Data
  • Process simulation and static analyses
  • Process data query languages
  • Process data mining
  • Privacy-aware process data mining
  • Process metadata and semantic reasoning
  • Process patterns and standards
  • Foundations of business process models
  • Resource management in business process execution
  • Process tracing and monitoring
  • Process change management and evolution
  • Business process lifecycle
  • Case studies and experience reports
  • Social process discovery
  • Crowdsourced process definition and discovery

Workshop Co-Chairs

Rafael Accorsi, University of Freiburg, Germany
Paolo Ceravolo, Università degli Studi di Milano, Italy
Philippe Cudré-Mauroux, University of Fribourg, Switzerland

Program Committee

This workshop was born by the joint initiative of the IFIP WG 2.6 and 2.12/12.4 (see section on the historical information) and is actively supported by the following people:

Rafael Accorsi, University of Freiburg, Germany
Paolo Ceravolo, Università degli Studi di Milano, Italy
Philippe Cudré-Mauroux, University of Fribourg, Switzerland
Ernesto Damiani, Università degli Studi di Milano, Italy
Tharam Dillon, La Trobe University, Australia
Luigi Gallo, ICAR-CNR, Italy
Marcello Leida, EBTIC (Etisalat BT Innovation Centre), UAE
Michiharu Kudoh, IBM, Japan
Setsuo Tsuruta, Tokyo Denki University, Japan