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DORA THE EXPLORER : Exploring Very Large Data With Inter..:
, In:
Proceedings of the 30th ACM International Conference on Information & Knowledge Management
,
Personnaz, Aurélien
;
Amer-Yahia, Sihem
;
Berti-Equille, Laure
.. - p. 4769-4773 , 2021
Link:
https://dl.acm.org/doi/10.1145/3459637.3481967
RT T1 <cTitle>Proceedings of the 30th ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>DORA THE EXPLORER : Exploring Very Large Data With Interactive Deep Reinforcement Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3481967&Exemplar=1&LAN=DE A1 Personnaz, Aurélien A1 Amer-Yahia, Sihem A1 Berti-Equille, Laure A1 Fabricius, Maximilian A1 Subramanian, Srividya PB ACM YR 2021 K1 data exploration K1 reinforcement learning K1 sdss datasets K1 user feedback K1 Information systems K1 Information systems applications K1 Decision support systems K1 Data analytics SP 4769 OP 4773 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3459637.3481967 DO https://dl.acm.org/doi/10.1145/3459637.3481967 SF ELIB - SuUB Bremen
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