Manuel Fritz

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 15

Top Topics

Cluster Analysis

Automatic Selection

Hierarchical Latent Class Models

Data Management

Top Venues

SICS Softw.-Intensive Cyber Phys. Syst.

Proc. ACM Manag. Data

Publications

Manuel Fritz
Data Management in Semiconductor Manufacturing Equipment: Current State and Challenges (abstract). GvDB (2023)
Dennis Treder-Tschechlov, Manuel Fritz, Holger Schwarz, Bernhard Mitschang
ML2DAC: Meta-Learning to Democratize AutoML for Clustering Analysis. Proc. ACM Manag. Data 1 (2) (2023)
Manuel Fritz, Michael Behringer, Dennis Tschechlov, Holger Schwarz
Efficient exploratory clustering analyses in large-scale exploration processes. VLDB J. 31 (4) (2022)
Michael Behringer, Manuel Fritz, Holger Schwarz, Bernhard Mitschang
DATA-IMP: An Interactive Approach to Specify Data Imputation Transformations on Large Datasets. CoopIS (2022)
Dennis Tschechlov, Manuel Fritz, Holger Schwarz
AutoML4Clust: Efficient AutoML for Clustering Analyses. EDBT (2021)
Manuel Fritz, Dennis Tschechlov, Holger Schwarz
Efficient Exploratory Clustering Analyses with Qualitative Approximations. EDBT (2021)
Manuel Fritz, Gang Shao, Holger Schwarz
Automatic Selection of Analytic Platforms with ASAP-DM. SSDBM (2021)
Manuel Fritz, Dennis Tschechlov, Holger Schwarz
Learning from Past Observations: Meta-Learning for Efficient Clustering Analyses. DaWaK (2020)
Michael Behringer, Pascal Hirmer, Manuel Fritz, Bernhard Mitschang
Empowering Domain Experts to Preprocess Massive Distributed Datasets. BIS (2020)
Manuel Fritz, Osama Muazzen, Michael Behringer, Holger Schwarz
ASAP-DM: a framework for automatic selection of analytic platforms for data mining. SICS Softw.-Intensive Cyber Phys. Syst. 35 (1-2) (2020)
Manuel Fritz, Michael Behringer, Holger Schwarz
LOG-Means: Efficiently Estimating the Number of Clusters in Large Datasets. Proc. VLDB Endow. 13 (11) (2020)
Manuel Fritz, Michael Behringer, Holger Schwarz
Quality-driven early stopping for explorative cluster analysis for big data. SICS Softw.-Intensive Cyber Phys. Syst. 34 (2-3) (2019)
Manuel Fritz, Holger Schwarz
Initializing k-Means Efficiently: Benefits for Exploratory Cluster Analysis. OTM Conferences (2019)
Simon Albrecht, Manuel Fritz, Jens Strüker, Holger Ziekow
Targeting customers for an optimized energy procurement. Comput. Sci. Res. Dev. 32 (1-2) (2017)
Manuel Fritz, Simon Albrecht, Holger Ziekow, Jens Strüker
Benchmarking Big Data Technologies for Energy Procurement Efficiency. AMCIS (2017)