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A time-series clustering algorithm for analyzing the change..:
, In:
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility
,
Zhang, Ziyi
;
Li, Diya
;
Zhang, Zhe
. - p. 13-17 , 2021
Link:
https://dl.acm.org/doi/10.1145/3486637.3489489
RT T1
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility
: T1
A time-series clustering algorithm for analyzing the changes of mobility pattern caused by COVID-19
UL https://suche.suub.uni-bremen.de/peid=acm-3489489&Exemplar=1&LAN=DE A1 Zhang, Ziyi A1 Li, Diya A1 Zhang, Zhe A1 Duffield, Nicholas PB ACM YR 2021 K1 COVID-19 K1 mobility pattern K1 time-series clustering K1 Information systems K1 Information systems applications K1 Spatial-temporal systems K1 Theory of computation K1 Models of computation K1 Timed and hybrid models K1 Data mining SP 13 OP 17 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3486637.3489489 DO https://dl.acm.org/doi/10.1145/3486637.3489489 SF ELIB - SuUB Bremen
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