| A framework for supporting repetition and evaluation in the process of cloud-based DBMS performance benchmarking PK Erdelt Technology Conference on Performance Evaluation and Benchmarking, 75-92, 2020 | 5 | 2020 |
| The Modelling and Assessment of Online Customer Interaction, Customer Journeys and Churning B Luther, N Winter, H Nobmann, T Winter, P Erdelt, A Haensel Customer Journeys and Churning (Juli 14, 2017), 2017 | 4 | 2017 |
| Orchestrating DBMS benchmarking in the cloud with kubernetes PK Erdelt Performance Evaluation and Benchmarking: 13th TPC Technology Conference …, 2022 | 3 | 2022 |
| DBMS-Benchmarker: Benchmark and Evaluate DBMS in Python PK Erdelt, J Jestel Journal of Open Source Software 7 (79), 4628, 2022 | 1 | 2022 |
| Neighborhood-Based Loss Functions for Explainability of Autoencoders D Baskan, PK Erdelt Available at SSRN 4212995, 2022 | | 2022 |
| Modeling and Forecasting the Customer Activity for an European Travel Website H Nobmann, T Winter, P Erdelt, N Winter, A Haensel Available at SSRN 3396362, 2019 | | 2019 |
| Fokus Forschung-Das Wissenschaftsmagazin der HWR Berlin H Gleißner Fokus Forschung-Das Wissenschaftsmagazin der HWR Berlin, 1-13, 2018 | | 2018 |
| Deformation Quantization on Symplectic Stacks and Applications to the Moduli of Flat Connections P Erdelt Johann Wolfgang Goethe-Universität Frankfurt am Main, 2009 | | 2009 |
| A Cloud-Native Adoption of Classical DBMS Performance Benchmarks and Tools PK Erdelt | | |
