Management of Meteorological Mass Data with MongoDB. - Richard Lutz; Parinaz Ameri; Thomas Latzko; Jörg Meyer 001 (EnviroInfo, 2014)

On the Application and Performance of MongoDB for Climate Satellite Data. - Parinaz Ameri; Udo Grabowski; Jörg Meyer 001; Achim Streit (TrustCom, 2014)

On a new approach to the index selection problem using mining algorithms. - Parinaz Ameri; Jörg Meyer 001; Achim Streit (IEEE BigData, 2015)

GridKa school - Teaching information technologies since 2003. - Melanie Ernst; Thomas Hartmann; Andreas Heiss; Christopher Jung 002; Joerg Meyer 001; Dimitri Nilsen; Andreas Petzold; Christoph-Erdmann Pfeiler; Ingrid Schaeffner; Jie Tao; Pavel Weber (EDUCON, 2015)

A Horizontally-Scalable Multiprocessing Platform Based on Node.js. - Ahmad Maatouki; Jörg Meyer 001; Marek Szuba; Achim Streit (TrustCom/BigDataSE/ISPA (3), 2015)

A Distributed System for Storing and Processing Data from Earth-Observing Satellites: System Design and Performance Evaluation of the Visualisation Tool. - Marek Szuba; Parinaz Ameri; Udo Grabowski; Jörg Meyer 001; Achim Streit (CCGrid, 2016)

NoWog: A Workload Generator for Database Performance Benchmarking. - Parinaz Ameri; Nico Schlitter; Jörg Meyer 001; Achim Streit (DASC/PiCom/DataCom/CyberSciTech, 2016)

Adaptive Lossy Compression of Complex Environmental Indices Using Seasonal Auto-Regressive Integrated Moving Average Models. - Ugur Çayoglu; Peter Braesicke; Tobias Kerzenmacher; Jörg Meyer 001; Achim Streit (eScience, 2017)

Concept and Analysis of Information Spaces to improve Prediction-Based Compression. - Ugur Çayoglu; Frank Tristram; Jörg Meyer 001; Tobias Kerzenmacher; Peter Braesicke; Achim Streit (IEEE BigData, 2018)

A modular software framework for compression of structured climate data. - Ugur Çayoglu; Jennifer Schröter; Jörg Meyer 001; Achim Streit; Peter Braesicke (SIGSPATIAL/GIS, 2018)

Data Encoding in Lossless Prediction-Based Compression Algorithms. - Ugur Çayoglu; Frank Tristram; Jörg Meyer 001; Jennifer Schröter; Tobias Kerzenmacher; Peter Braesicke; Achim Streit (eScience, 2019)

Clustering as Approximation Method to Optimize Hydrological Simulations. - Elnaz Azmi; Uwe Ehret; Jörg Meyer 001; Rik van Pruijssen; Achim Streit; Marcus Strobl (Euro-Par, 2019)

On Advancement of Information Spaces to Improve Prediction-Based Compression. - Ugur Çayoglu; Frank Tristram; Jörg Meyer 001; Tobias Kerzenmacher; Peter Braesicke; Achim Streit (GI-Jahrestagung, 2019)

Application of Mixtures of Gaussians for Tracking Clusters in Spatio-temporal Data. - Benjamin Ertl; Jörg Meyer 001; Achim Streit; Matthias Schneider (KDIR, 2019)

CoExDBSCAN: Density-based Clustering with Constrained Expansion. - Benjamin Ertl; Jörg Meyer 001; Matthias Schneider; Achim Streit (KDIR, 2020)

Evolutionary Approach of Clustering to Optimize Hydrological Simulations. - Elnaz Azmi; Marcus Strobl; Rik van Pruijssen; Uwe Ehret; Jörg Meyer 001; Achim Streit (ICCSA (1), 2020)

Semi-Supervised Time Point Clustering for Multivariate Time Series. - Benjamin Ertl; Jörg Meyer 001; Matthias Schneider; Achim Streit (Canadian AI, 2021)

A Semi-supervised Approach for Trajectory Segmentation to Identify Different Moisture Processes in the Atmosphere. - Benjamin Ertl; Matthias Schneider; Christopher Diekmann; Jörg Meyer 001; Achim Streit (ICCS (1), 2021)

Approximation and Optimization of Global Environmental Simulations with Neural Networks. - Elnaz Azmi; Jörg Meyer 001; Marcus Strobl; Michael Weimer; Achim Streit (PASC, 2023)