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1 Ergebnisse
1
Fast Mining and Forecasting of Co-evolving Epidemiological ..:
, In:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Kimura, Tasuku
;
Matsubara, Yasuko
;
Kawabata, Koki
. - p. 3157-3167 , 2022
Link:
https://dl.acm.org/doi/10.1145/3534678.3539078
RT T1
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
: T1
Fast Mining and Forecasting of Co-evolving Epidemiological Data Streams
UL https://suche.suub.uni-bremen.de/peid=acm-3539078&Exemplar=1&LAN=DE A1 Kimura, Tasuku A1 Matsubara, Yasuko A1 Kawabata, Koki A1 Sakurai, Yasushi PB ACM YR 2022 K1 data streams K1 epidemics K1 non-linear dynamical systems K1 real-time forecasting K1 tensor data analysis K1 time series K1 Mathematics of computing K1 Mathematical analysis K1 Nonlinear equations K1 Information systems K1 Information systems applications K1 Data mining K1 Data stream mining SP 3157 OP 3167 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3534678.3539078 DO https://dl.acm.org/doi/10.1145/3534678.3539078 SF ELIB - SuUB Bremen
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