Manuel Fritz - RankMe

18 papers B 5Misc 1Journal 7Unranked 4

Year	Rank	Type	Title / 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