Jan Niklas Adams

Orcid: 0000-0001-8954-4925

According to our database1, Jan Niklas Adams authored at least 15 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
OCEL (Object-Centric Event Log) 2.0 Specification.
CoRR, 2024

2023
Explainable concept drift in process mining.
Inf. Syst., March, 2023

An Experimental Evaluation of Process Concept Drift Detection.
Proc. VLDB Endow., 2023

Preserving complex object-centric graph structures to improve machine learning tasks in process mining.
Eng. Appl. Artif. Intell., 2023

OCEL 2.0 Resources - www.ocel-standard.org.
Proceedings of the Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023), 2023

Object-Centric Alignments.
Proceedings of the Conceptual Modeling - 42nd International Conference, 2023

Discovering high-quality process models despite data scarcity.
Proceedings of the Companion Proceedings of the 42nd International Conference on Conceptual Modeling: ER Forum, 2023

Addressing Convergence, Divergence, and Deficiency Issues.
Proceedings of the Business Process Management Workshops, 2023

2022
ocpa: A Python library for object-centric process analysis.
Softw. Impacts, December, 2022

A Framework for Extracting and Encoding Features from Object-Centric Event Data.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

Defining Cases and Variants for Object-Centric Event Data.
Proceedings of the 4th International Conference on Process Mining, 2022

OPerA: Object-Centric Performance Analysis.
Proceedings of the Conceptual Modeling - 41st International Conference, 2022

OCπ: Object-Centric Process Insights.
Proceedings of the Application and Theory of Petri Nets and Concurrency, 2022

2021
Precision and Fitness in Object-Centric Process Mining.
Proceedings of the 3rd International Conference on Process Mining, 2021

A Framework for Explainable Concept Drift Detection in Process Mining.
Proceedings of the Business Process Management - 19th International Conference, 2021


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