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1 Ergebnisse
1
Detecting collective anomalies from multiple spatio-tempora..:
, In:
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems
,
Zheng, Yu
;
Zhang, Huichu
;
Yu, Yong
- p. 1-10 , 2015
Link:
https://dl.acm.org/doi/10.1145/2820783.2820813
RT T1 <cTitle>Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems</cTitle>: T1 <Title>Detecting collective anomalies from multiple spatio-temporal datasets across different domains</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2820813&Exemplar=1&LAN=DE A1 Zheng, Yu A1 Zhang, Huichu A1 Yu, Yong PB ACM YR 2015 K1 anomaly detection K1 big data K1 cross-domain K1 urban computing K1 Information systems K1 Information systems applications K1 Data mining K1 Human-centered computing K1 Visualization K1 Visualization application domains K1 Geographic visualization K1 Spatial-temporal systems SP 1 OP 10 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2820783.2820813 DO https://dl.acm.org/doi/10.1145/2820783.2820813 SF ELIB - SuUB Bremen
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