Manuel Fritz

18 papers B 5Misc 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2025 Misc conf
Data Contracts to Leverage (De-)centralized Data Management in Manufacturing Industries: An Experience Report.
BTW
Sarah Oppold, Manuel Fritz, Lucas Woltmann
2024 J jnl
Ensemble Clustering based on Meta-Learning and Hyperparameter Optimization.
Proc. VLDB Endow.
Dennis Treder-Tschechlov, Manuel Fritz, Holger Schwarz, Bernhard Mitschang
2023 — conf
Data Management in Semiconductor Manufacturing Equipment: Current State and Challenges (abstract).
GvDB
Manuel Fritz
2023 J jnl
ML2DAC: Meta-Learning to Democratize AutoML for Clustering Analysis.
Proc. ACM Manag. Data
Dennis Treder-Tschechlov, Manuel Fritz, Holger Schwarz, Bernhard Mitschang
2022 B conf
DATA-IMP: An Interactive Approach to Specify Data Imputation Transformations on Large Datasets.
CoopIS
Michael Behringer, Manuel Fritz, Holger Schwarz, Bernhard Mitschang
2022 J jnl
Efficient exploratory clustering analyses in large-scale exploration processes.
VLDB J.
Manuel Fritz, Michael Behringer, Dennis Tschechlov, Holger Schwarz
2021 B conf
AutoML4Clust: Efficient AutoML for Clustering Analyses.
EDBT
Dennis Tschechlov, Manuel Fritz, Holger Schwarz
2021 B conf
Automatic Selection of Analytic Platforms with ASAP-DM.
SSDBM
Manuel Fritz, Gang Shao, Holger Schwarz
2021 B conf
Efficient Exploratory Clustering Analyses with Qualitative Approximations.
EDBT
Manuel Fritz, Dennis Tschechlov, Holger Schwarz
2021 — —
Methods for enhanced exploratory clustering analyses.
Manuel Fritz
2020 J jnl
ASAP-DM: a framework for automatic selection of analytic platforms for data mining.
SICS Softw.-Intensive Cyber Phys. Syst.
Manuel Fritz, Osama Muazzen, Michael Behringer, Holger Schwarz
2020 — conf
Empowering Domain Experts to Preprocess Massive Distributed Datasets.
BIS
Michael Behringer, Pascal Hirmer, Manuel Fritz, Bernhard Mitschang
2020 J jnl
LOG-Means: Efficiently Estimating the Number of Clusters in Large Datasets.
Proc. VLDB Endow.
Manuel Fritz, Michael Behringer, Holger Schwarz
2020 B conf
Learning from Past Observations: Meta-Learning for Efficient Clustering Analyses.
DaWaK
Manuel Fritz, Dennis Tschechlov, Holger Schwarz
2019 — conf
Initializing k-Means Efficiently: Benefits for Exploratory Cluster Analysis.
OTM Conferences
Manuel Fritz, Holger Schwarz
2019 J jnl
Quality-driven early stopping for explorative cluster analysis for big data.
SICS Softw.-Intensive Cyber Phys. Syst.
Manuel Fritz, Michael Behringer, Holger Schwarz
2017 — conf
Benchmarking Big Data Technologies for Energy Procurement Efficiency.
AMCIS
Manuel Fritz, Simon Albrecht, Holger Ziekow, Jens Strüker
2017 J jnl
Targeting customers for an optimized energy procurement.
Comput. Sci. Res. Dev.
Simon Albrecht, Manuel Fritz, Jens Strüker, Holger Ziekow