With the increasing automation of business processes, growing amounts of process data become available. This opens new research opportunities for business processdata analysis, mining and modeling. The aim of the IFIP 2.6 International Symposium on Data-Driven Process Discovery and Analysis is to offer a forum where researchers from different communities and the industry can share their insight in this hot new field.
The Symposium will feature a number of keynotes illustrating advanced approaches, shorter presentations on recent research, a competitive PhD seminar and selected research and industrial demonstrations. This year the symposium will be held in Graz.
Business Process modeling languages, notations and methods
Lightweight Process Model
Data-aware and data-centric approaches
Process Mining with Big Data tecnologies
Variability and configuration of process models
Process simulation and static analyses
Process data query languages
Process data mining
Process data visualization and reporting
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
Dec 14
2016
Dec 16
2016
Registration deadline
Draft paper submission deadline
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