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Iris: Amortized, Resource Efficient Visualizations of Volum..:
, In:
2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)
,
Bruhwiler, Kevin
;
Buddhika, Thilina
;
Pallickara, Shrideep
. - p. 47-56 , 2020
Link:
https://doi.org/10.1109/BDCAT50828.2020.00003
RT T1
2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)
: T1
Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets
UL https://suche.suub.uni-bremen.de/peid=ieee-9302539&Exemplar=1&LAN=DE A1 Bruhwiler, Kevin A1 Buddhika, Thilina A1 Pallickara, Shrideep A1 Pallickara, Sangmi Lee YR 2020 K1 Data visualization K1 Spatiotemporal phenomena K1 Iris K1 Visualization K1 Rendering (computer graphics) K1 Servers K1 Query processing K1 Spatiotemporal Data K1 Sketching Algorithms K1 Neural Networks SP 47 OP 56 LK http://dx.doi.org/https://doi.org/10.1109/BDCAT50828.2020.00003 DO https://doi.org/10.1109/BDCAT50828.2020.00003 SF ELIB - SuUB Bremen
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