Benchmarking Big Data Technologies for Energy Procurement Efficiency. - Manuel Fritz; Simon Albrecht; Holger Ziekow; Jens Strüker (AMCIS, 2017)

Targeting customers for an optimized energy procurement. - Simon Albrecht; Manuel Fritz; Jens Strüker; Holger Ziekow (Comput. Sci. Res. Dev., 2017)

Initializing k-Means Efficiently: Benefits for Exploratory Cluster Analysis. - Manuel Fritz; Holger Schwarz (OTM Conferences, 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)

Empowering Domain Experts to Preprocess Massive Distributed Datasets. - Michael Behringer; Pascal Hirmer; Manuel Fritz; Bernhard Mitschang (BIS, 2020)

Learning from Past Observations: Meta-Learning for Efficient Clustering Analyses. - Manuel Fritz; Dennis Tschechlov; Holger Schwarz (DaWaK, 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)

LOG-Means: Efficiently Estimating the Number of Clusters in Large Datasets. - Manuel Fritz; Michael Behringer; Holger Schwarz (Proc. VLDB Endow., 2020)

Efficient Exploratory Clustering Analyses with Qualitative Approximations. - Manuel Fritz; Dennis Tschechlov; Holger Schwarz (EDBT, 2021)

AutoML4Clust: Efficient AutoML for Clustering Analyses. - Dennis Tschechlov; Manuel Fritz; Holger Schwarz (EDBT, 2021)

Automatic Selection of Analytic Platforms with ASAP-DM. - Manuel Fritz; Gang Shao; Holger Schwarz (SSDBM, 2021)

Methods for enhanced exploratory clustering analyses. - Manuel Fritz (2021)

DATA-IMP: An Interactive Approach to Specify Data Imputation Transformations on Large Datasets. - Michael Behringer; Manuel Fritz; Holger Schwarz; Bernhard Mitschang (CoopIS, 2022)

Efficient exploratory clustering analyses in large-scale exploration processes. - Manuel Fritz; Michael Behringer; Dennis Tschechlov; Holger Schwarz (VLDB J., 2022)

Data Management in Semiconductor Manufacturing Equipment: Current State and Challenges (abstract). - Manuel Fritz (GvDB, 2023)

ML2DAC: Meta-Learning to Democratize AutoML for Clustering Analysis. - Dennis Treder-Tschechlov; Manuel Fritz; Holger Schwarz; Bernhard Mitschang (Proc. ACM Manag. Data, 2023)

Ensemble Clustering based on Meta-Learning and Hyperparameter Optimization. - Dennis Treder-Tschechlov; Manuel Fritz; Holger Schwarz; Bernhard Mitschang (Proc. VLDB Endow., 2024)

Data Contracts to Leverage (De-)centralized Data Management in Manufacturing Industries: An Experience Report. - Sarah Oppold; Manuel Fritz; Lucas Woltmann (BTW, 2025)