Technische Daten
Erscheinungsdatum
31.08.2021
Herausgeber
Springer International Publishing
Autor
Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay, Stefan Wrobel
Autorenporträt
Natalia and Gennady Andrienko are lead scientists responsible for visual analytics research at the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS) in Germany since 2007 and part-time professors at City, University of London since 2013. They co-authored monographs “Exploratory Analysis of Spatial and Temporal Data” (Springer, 2006) and “Visual Analytics of Movement” (Springer, 2013), and more than 100 peer-reviewed journal papers. Their research interests include geovisualization, information visualization with a focus on spatial and temporal data, visual analytics, interactive knowledge discovery and data mining, and data science. Natalia and Gennady Andrienko received test of time award at IEEE VAST 2018, best paper awards at AGILE 2006, IEEE VAST 2011 and 2012, and EuroVis 2015 conferences and EuroVA 2018 and 2019 workshops, honorable mention awards at IEEE VAST 2010 and EuroVis 2017 conferences, VAST challenge awards 2008 and 2014, and best posterawards at AGILE 2007 and 2018, ACM GIS 2011 and IEEE VAST 2016 conferences.
Schlagwörter
Data Science, Data Analytics, Visual Analytics, Data Mining, Machine Learning
Thema-Inhalt
UNF - Data Mining
UYQE - Wissensbasierte Systeme, Expertensysteme
UYQ - Künstliche Intelligenz
UYQP - Mustererkennung
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