Georg Fuchs
Georg Fuchs
Head of division Big Data Analytics & Intelligence, Fraunhofer IAIS
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Revealing patterns and trends of mass mobility through spatial and temporal abstraction of origin-destination movement data
G Andrienko, N Andrienko, G Fuchs, J Wood
IEEE transactions on visualization and computer graphics 23 (9), 2120-2136, 2016
Thematic patterns in georeferenced tweets through space-time visual analytics
G Andrienko, N Andrienko, H Bosch, T Ertl, G Fuchs, P Jankowski, ...
Computing in Science & Engineering 15 (3), 72-82, 2013
Task-driven color coding
C Tominski, G Fuchs, H Schumann
2008 12th International Conference Information Visualisation, 373-380, 2008
Visual analysis of pressure in football
G Andrienko, N Andrienko, G Budziak, J Dykes, G Fuchs, ...
Data Mining and Knowledge Discovery 31, 1793-1839, 2017
Viewing visual analytics as model building
N Andrienko, T Lammarsch, G Andrienko, G Fuchs, D Keim, S Miksch, ...
Computer graphics forum 37 (6), 275-299, 2018
Clustering trajectories by relevant parts for air traffic analysis
G Andrienko, N Andrienko, G Fuchs, JMC Garcia
IEEE transactions on visualization and computer graphics 24 (1), 34-44, 2017
Tracing the German centennial flood in the stream of tweets: first lessons learned
G Fuchs, N Andrienko, G Andrienko, S Bothe, H Stange
Proceedings of the second ACM SIGSPATIAL international workshop on …, 2013
Scalable and privacy-respectful interactive discovery of place semantics from human mobility traces
N Andrienko, G Andrienko, G Fuchs, P Jankowski
Information Visualization 15 (2), 117-153, 2016
Constructing spaces and times for tactical analysis in football
G Andrienko, N Andrienko, G Anzer, P Bauer, G Budziak, G Fuchs, ...
IEEE Transactions on Visualization and Computer Graphics 27 (4), 2280-2297, 2019
Visualizing abstract data on maps
G Fuchs, H Schumann
Proceedings. Eighth International Conference on Information Visualisation …, 2004
DART: A machine-learning approach to trajectory prediction and demand-capacity balancing
EC Fernández, JM Cordero, G Vouros, N Pelekis, T Kravaris, H Georgiou, ...
SESAR Innovation Days, Belgrade, 28-30, 2017
Understanding movement data quality
G Andrienko, N Andrienko, G Fuchs
Journal of location Based services 10 (1), 31-46, 2016
Extracting Semantics of Individual Places from Movement Data by Analyzing Temporal Patterns of Visits.
GL Andrienko, NV Andrienko, G Fuchs, AMO Raimond, J Symanzik, ...
COMP@ SIGSPATIAL, 9-15, 2013
Towards an integrated approach for task modeling and human behavior recognition
M Giersich, P Forbrig, G Fuchs, T Kirste, D Reichart, H Schumann
Human-Computer Interaction. Interaction Design and Usability: 12th …, 2007
Visual analytics for data scientists
N Andrienko, G Andrienko, G Fuchs, A Slingsby, C Turkay, S Wrobel
Springer International Publishing, 2020
Data abstraction for visualizing large time series
G Shurkhovetskyy, N Andrienko, G Andrienko, G Fuchs
Computer Graphics Forum 37 (1), 125-144, 2018
SimpliFly: A methodology for simplification and thematic enhancement of trajectories
K Vrotsou, H Janetzko, C Navarra, G Fuchs, D Spretke, F Mansmann, ...
IEEE Transactions on Visualization and Computer Graphics 21 (1), 107-121, 2014
Visual analytics for exploring local impact of air traffic
J Buchmüller, H Janetzko, G Andrienko, N Andrienko, G Fuchs, DA Keim
Computer Graphics Forum 34 (3), 181-190, 2015
Big Data Analytics for Time Critical Mobility Forecasting: Recent Progress and Research Challenges.
GA Vouros, A Vlachou, GM Santipantakis, C Doulkeridis, N Pelekis, ...
EDBT, 612-623, 2018
Detection, tracking, and visualization of spatial event clusters for real time monitoring
N Andrienko, G Andrienko, G Fuchs, S Rinzivillo, HD Betz
2015 IEEE International conference on data science and advanced analytics …, 2015
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