79 citations · 190 across the 5 of their papers we have counts for
5 papers
What Averages Do Not Tell -- Predicting Real Life Processes with Sequential Deep Learning
István Ketykó, Felix Mannhardt, Marwan Hassani +1
Deep Learning is proven to be an effective tool for modeling sequential data as shown by the success in Natural Language, Computer Vision and Signal Processing. Process Mining conc…
Conformance Checking of Mixed-paradigm Process Models
Boudewijn van Dongen, Johannes De Smedt, Claudio Di Ciccio +1
Mixed-paradigm process models integrate strengths of procedural and declarative representations like Petri nets and Declare. They are specifically interesting for process mining be…
Native Directly Follows Operator
Alifah Syamsiyah, Boudewijn F. van Dongen, Remco M. Dijkman
Typical legacy information systems store data in relational databases. Process mining is a research discipline that analyzes this data to obtain insights into processes. Many diffe…
Event Stream-Based Process Discovery using Abstract Representations
Sebastiaan J. van Zelst, Boudewijn F. van Dongen, Wil M. P. van der Aalst
The aim of process discovery, originating from the area of process mining, is to discover a process model based on business process execution data. A majority of process discovery…
Discovering Relaxed Sound Workflow Nets using Integer Linear Programming
S. J. van Zelst, B. F. van Dongen, W. M. P. van der Aalst +1
Process mining is concerned with the analysis, understanding and improvement of business processes. Process discovery, i.e. discovering a process model based on an event log, is co…