Search Results for author: Han van der Aa

Found 8 papers, 3 papers with code

Large Process Models: Business Process Management in the Age of Generative AI

no code implementations2 Sep 2023 Timotheus Kampik, Christian Warmuth, Adrian Rebmann, Ron Agam, Lukas N. P. Egger, Andreas Gerber, Johannes Hoffart, Jonas Kolk, Philipp Herzig, Gero Decker, Han van der Aa, Artem Polyvyanyy, Stefanie Rinderle-Ma, Ingo Weber, Matthias Weidlich

The continued success of Large Language Models (LLMs) and other generative artificial intelligence approaches highlights the advantages that large information corpora can have over rigidly defined symbolic models, but also serves as a proof-point of the challenges that purely statistics-based approaches have in terms of safety and trustworthiness.

Management

PET: An Annotated Dataset for Process Extraction from Natural Language Text

no code implementations9 Mar 2022 Patrizio Bellan, Han van der Aa, Mauro Dragoni, Chiara Ghidini, Simone Paolo Ponzetto

Therefore, to bridge this gap, we present the PET dataset, a first corpus of business process descriptions annotated with activities, gateways, actors, and flow information.

Process Extraction from Text: Benchmarking the State of the Art and Paving the Way for Future Challenges

2 code implementations7 Oct 2021 Patrizio Bellan, Mauro Dragoni, Chiara Ghidini, Han van der Aa, Simone Paolo Ponzetto

The extraction of process models from text refers to the problem of turning the information contained in an unstructured textual process descriptions into a formal representation, i. e., a process model.

Benchmarking Model extraction +1

SaCoFa: Semantics-aware Control-flow Anonymization for Process Mining

1 code implementation17 Sep 2021 Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Fabian Rösel, Han van der Aa, Matthias Weidlich

Privacy-preserving process mining enables the analysis of business processes using event logs, while giving guarantees on the protection of sensitive information on process stakeholders.

Privacy Preserving

A Distance Measure for Privacy-preserving Process Mining based on Feature Learning

no code implementations14 Jul 2021 Fabian Rösel, Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich

To avoid this and incorporate the semantics of activities during anonymization, we propose to instead incorporate a distance measure based on feature learning.

Privacy Preserving

Extracting Semantic Process Information from the Natural Language in Event Logs

no code implementations6 Mar 2021 Adrian Rebmann, Han van der Aa

While foundational process mining techniques treat such data as sequences of abstract events, more advanced techniques depend on the availability of specific kinds of information, such as resources in organizational mining and business objects in artifact-centric analysis.

Attribute Language Modelling +1

Partial Order Resolution of Event Logs for Process Conformance Checking

1 code implementation5 Jul 2020 Han van der Aa, Henrik Leopold, Matthias Weidlich

A key assumption of existing conformance checking techniques, however, is that all events are associated with timestamps that allow to infer a total order of events per process instance.

Challenges and Opportunities of Applying Natural Language Processing in Business Process Management

no code implementations COLING 2018 Han van der Aa, Josep Carmona, Henrik Leopold, Jan Mendling, Llu{\'\i}s Padr{\'o}

The Business Process Management (BPM) field focuses in the coordination of labor so that organizational processes are smoothly executed in a way that products and services are properly delivered.

Management Position

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