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1 Ergebnisse
1
Learning to Discover Causes of Traffic Congestion with Limi..:
, In:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Wang, Mudan
;
Yan, Huan
;
Sui, Hongjie
... - p. 4041-4049 , 2022
Link:
https://dl.acm.org/doi/10.1145/3534678.3539185
RT T1 <cTitle>Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>Learning to Discover Causes of Traffic Congestion with Limited Labeled Data</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3539185&Exemplar=1&LAN=DE A1 Wang, Mudan A1 Yan, Huan A1 Sui, Hongjie A1 Zuo, Fan A1 Liu, Yue A1 Li, Yong PB ACM YR 2022 K1 novel category discovery K1 spatio-temporal data mining K1 traffic congestion causes K1 transfer clustering K1 Information systems K1 Information systems applications K1 Data mining K1 Clustering SP 4041 OP 4049 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3534678.3539185 DO https://dl.acm.org/doi/10.1145/3534678.3539185 SF ELIB - SuUB Bremen
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