Jörg Meyer

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 14

Top Topics

Lossy Compression

Information Space

Multivariate Time Series

Top Venues

Publications

Elnaz Azmi, Jörg Meyer, Marcus Strobl, Michael Weimer, Achim Streit
Approximation and Optimization of Global Environmental Simulations with Neural Networks. PASC (2023)
Benjamin Ertl, Jörg Meyer, Matthias Schneider, Achim Streit
Semi-Supervised Time Point Clustering for Multivariate Time Series. Canadian Conference on AI (2021)
Benjamin Ertl, Matthias Schneider, Christopher Diekmann, Jörg Meyer, Achim Streit
A Semi-supervised Approach for Trajectory Segmentation to Identify Different Moisture Processes in the Atmosphere. ICCS (1) (2021)
Benjamin Ertl, Jörg Meyer, Matthias Schneider, Achim Streit
CoExDBSCAN: Density-based Clustering with Constrained Expansion. KDIR (2020)
Elnaz Azmi, Marcus Strobl, Rik van Pruijssen, Uwe Ehret, Jörg Meyer, Achim Streit
Evolutionary Approach of Clustering to Optimize Hydrological Simulations. ICCSA (1) (2020)
Elnaz Azmi, Uwe Ehret, Jörg Meyer, Rik van Pruijssen, Achim Streit, Marcus Strobl
Clustering as Approximation Method to Optimize Hydrological Simulations. Euro-Par (2019)
Ugur Çayoglu, Frank Tristram, Jörg Meyer, Tobias Kerzenmacher, Peter Braesicke, Achim Streit
On Advancement of Information Spaces to Improve Prediction-Based Compression. GI-Jahrestagung (2019)
Ugur Çayoglu, Frank Tristram, Jörg Meyer, Jennifer Schröter, Tobias Kerzenmacher, Peter Braesicke, Achim Streit
Data Encoding in Lossless Prediction-Based Compression Algorithms. eScience (2019)
Benjamin Ertl, Jörg Meyer, Achim Streit, Matthias Schneider
Application of Mixtures of Gaussians for Tracking Clusters in Spatio-temporal Data. KDIR (2019)
Ugur Çayoglu, Jennifer Schröter, Jörg Meyer, Achim Streit, Peter Braesicke
A modular software framework for compression of structured climate data. SIGSPATIAL/GIS (2018)
Ugur Çayoglu, Frank Tristram, Jörg Meyer, Tobias Kerzenmacher, Peter Braesicke, Achim Streit
Concept and Analysis of Information Spaces to improve Prediction-Based Compression. IEEE BigData (2018)
Ugur Çayoglu, Peter Braesicke, Tobias Kerzenmacher, Jörg Meyer, Achim Streit
Adaptive Lossy Compression of Complex Environmental Indices Using Seasonal Auto-Regressive Integrated Moving Average Models. eScience (2017)
Parinaz Ameri, Nico Schlitter, Jörg Meyer, Achim Streit
NoWog: A Workload Generator for Database Performance Benchmarking. DASC/PiCom/DataCom/CyberSciTech (2016)
Marek Szuba, Parinaz Ameri, Udo Grabowski, Jörg Meyer, Achim Streit
A Distributed System for Storing and Processing Data from Earth-Observing Satellites: System Design and Performance Evaluation of the Visualisation Tool. CCGrid (2016)
Ahmad Maatouki, Marek Szuba, Jörg Meyer, Achim Streit
A horizontally-scalable multiprocessing platform based on Node.js. CoRR (2015)
Ahmad Maatouki, Jörg Meyer, Marek Szuba, Achim Streit
A Horizontally-Scalable Multiprocessing Platform Based on Node.js. TrustCom/BigDataSE/ISPA (3) (2015)
Parinaz Ameri, Jörg Meyer, Achim Streit
On a new approach to the index selection problem using mining algorithms. IEEE BigData (2015)
Marek Szuba, Parinaz Ameri, Udo Grabowski, Jörg Meyer, Achim Streit
A Distributed System for Storing and Processing Data from Earth-observing Satellites: System Design and Performance Evaluation of the Visualisation Tool. CoRR (2015)
Parinaz Ameri, Udo Grabowski, Jörg Meyer, Achim Streit
On the Application and Performance of MongoDB for Climate Satellite Data. TrustCom (2014)
Richard Lutz, Parinaz Ameri, Thomas Latzko, Jörg Meyer
Management of Meteorological Mass Data with MongoDB. EnviroInfo (2014)