Jörg Meyer

Orcid: 0000-0003-0861-8481

Affiliations:
  • Karlsruhe Institute of Technology (KIT), Steinbuch Centre for Computing (SCC), Germany


According to our database1, Jörg Meyer authored at least 19 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Approximation and Optimization of Global Environmental Simulations with Neural Networks.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

2021
A Semi-supervised Approach for Trajectory Segmentation to Identify Different Moisture Processes in the Atmosphere.
Proceedings of the Computational Science - ICCS 2021, 2021

Semi-Supervised Time Point Clustering for Multivariate Time Series.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2020
Evolutionary Approach of Clustering to Optimize Hydrological Simulations.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

CoExDBSCAN: Density-based Clustering with Constrained Expansion.
Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020

2019
Application of Mixtures of Gaussians for Tracking Clusters in Spatio-temporal Data.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

On Advancement of Information Spaces to Improve Prediction-Based Compression.
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

Clustering as Approximation Method to Optimize Hydrological Simulations.
Proceedings of the Euro-Par 2019: Parallel Processing, 2019

Data Encoding in Lossless Prediction-Based Compression Algorithms.
Proceedings of the 15th International Conference on eScience, 2019

2018
A modular software framework for compression of structured climate data.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

Concept and Analysis of Information Spaces to improve Prediction-Based Compression.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Adaptive Lossy Compression of Complex Environmental Indices Using Seasonal Auto-Regressive Integrated Moving Average Models.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

2016
NoWog: A Workload Generator for Database Performance Benchmarking.
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

A Distributed System for Storing and Processing Data from Earth-Observing Satellites: System Design and Performance Evaluation of the Visualisation Tool.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

2015
A Horizontally-Scalable Multiprocessing Platform Based on Node.js.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

GridKa school - Teaching information technologies since 2003.
Proceedings of the IEEE Global Engineering Education Conference, 2015

On a new approach to the index selection problem using mining algorithms.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
On the Application and Performance of MongoDB for Climate Satellite Data.
Proceedings of the 13th IEEE International Conference on Trust, 2014

Management of Meteorological Mass Data with MongoDB.
Proceedings of the 28th International Conference on Informatics for Environmental Protection: ICT for Energy Effieciency, 2014


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