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1

Efficient exploratory clustering analyses in large-scale ex..:

Fritz, Manuel ; Behringer, Michael ; Tschechlov, Dennis.
The VLDB Journal. 31 (2021) 4 - p. 711-732 , 2021

Link: https://doi.org/10.1007/..

2

Learning from Past Observations: Meta-Learning for Efficien..:

, In: Lecture Notes in Computer Science; Big Data Analytics and Knowledge Discovery,

Fritz, Manuel ; Tschechlov, Dennis ; Schwarz, Holger - p. 364-379 , 2020

Link: https://doi.org/10.1007/..

3

Efficient exploratory clustering analyses in large-scale ex..:

Fritz, Manuel ; Behringer, Michael ; Tschechlov, Dennis.
doi:10.1007/s00778-021-00716-y. , 2021

Link: https://doi.org/10.18419..

4

Analysis and Transfer of AutoML Concepts for Clustering Alg..:

Tschechlov, Dennis
1692297511. , 2019

Link: https://doi.org/10.18419..

5

Metriken zur Evaluation von Teilschritten in Data Mining An..:

Tschechlov, Dennis
499954467. , 2017

Link: https://doi.org/10.18419..

6

Connecting Domain Experts and Data: Enriching User-Centric ..:

, In: Lecture Notes in Business Information Processing; Enterprise Information Systems,

Behringer, Michael ; Treder-Tschechlov, Dennis ; Voggesberger, Julius.. - p. 289-309 , 2024

Link: https://doi.org/10.1007/..

7

Ensemble Clustering Based on Meta-Learning and Hyperparamet..:

Treder-Tschechlov, Dennis ; Fritz, Manuel ; Schwarz, Holger.
Proceedings of the VLDB Endowment. 17 (2024) 11 - p. 2880-2892 , 2024

Link: https://doi.org/10.14778..

8

Exploiting domain knowledge to address class imbalance and ..:

Hirsch, Vitali ; Reimann, Peter ; Treder-Tschechlov, Dennis..
The VLDB Journal. 32 (2023) 5 - p. 1037-1064 , 2023

Link: https://doi.org/10.1007/..

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