Manuel Fritz

According to our database, Manuel Fritz authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Ensemble Clustering based on Meta-Learning and Hyperparameter Optimization.

Dennis Treder-Tschechlov, Manuel Fritz, Holger Schwarz, Bernhard Mitschang

Proc. VLDB Endow., July, 2024

2023

ML2DAC: Meta-Learning to Democratize AutoML for Clustering Analysis.

Dennis Treder-Tschechlov, Manuel Fritz, Holger Schwarz, Bernhard Mitschang

Proc. ACM Manag. Data, 2023

Data Management in Semiconductor Manufacturing Equipment: Current State and Challenges (abstract).

Manuel Fritz

Proceedings of the 34th GI-Workshop on Foundations of Databases (Grundlagen von Datenbanken), 2023

2022

Efficient exploratory clustering analyses in large-scale exploration processes.

Manuel Fritz, Michael Behringer, Dennis Tschechlov, Holger Schwarz

VLDB J., 2022

DATA-IMP: An Interactive Approach to Specify Data Imputation Transformations on Large Datasets.

Michael Behringer, Manuel Fritz, Holger Schwarz, Bernhard Mitschang

Proceedings of the Cooperative Information Systems - 28th International Conference, 2022

2021

Methods for enhanced exploratory clustering analyses.

Manuel Fritz

PhD thesis, 2021

Automatic Selection of Analytic Platforms with ASAP-DM.

Manuel Fritz, Gang Shao, Holger Schwarz

Proceedings of the SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, 2021

AutoML4Clust: Efficient AutoML for Clustering Analyses.

Dennis Tschechlov, Manuel Fritz, Holger Schwarz

Proceedings of the 24th International Conference on Extending Database Technology, 2021

Efficient Exploratory Clustering Analyses with Qualitative Approximations.

Manuel Fritz, Dennis Tschechlov, Holger Schwarz

Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020

LOG-Means: Efficiently Estimating the Number of Clusters in Large Datasets.

Manuel Fritz, Michael Behringer, Holger Schwarz

Proc. VLDB Endow., 2020

ASAP-DM: a framework for automatic selection of analytic platforms for data mining.

Manuel Fritz, Osama Muazzen, Michael Behringer, Holger Schwarz

SICS Softw.-Intensive Cyber Phys. Syst., 2020

Learning from Past Observations: Meta-Learning for Efficient Clustering Analyses.

Manuel Fritz, Dennis Tschechlov, Holger Schwarz

Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

Empowering Domain Experts to Preprocess Massive Distributed Datasets.

Michael Behringer, Pascal Hirmer, Manuel Fritz, Bernhard Mitschang

Proceedings of the Business Information Systems - 23rd International Conference, 2020

2019

Quality-driven early stopping for explorative cluster analysis for big data.

Manuel Fritz, Michael Behringer, Holger Schwarz

SICS Softw.-Intensive Cyber Phys. Syst., 2019

Initializing k-Means Efficiently: Benefits for Exploratory Cluster Analysis.

Manuel Fritz, Holger Schwarz

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2019 Conferences, 2019

2017

Targeting customers for an optimized energy procurement.

Simon Albrecht, Manuel Fritz, Jens Strüker, Holger Ziekow

Comput. Sci. Res. Dev., 2017

Benchmarking Big Data Technologies for Energy Procurement Efficiency.

Manuel Fritz, Simon Albrecht, Holger Ziekow, Jens Strüker

Proceedings of the 23rd Americas Conference on Information Systems, 2017