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A probablistic model for spatio-temporal signal extraction ..:
, In:
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
,
Sengstock, Christian
;
Gertz, Michael
;
Flatow, Florian
. - p. 274-283 , 2013
Link:
https://dl.acm.org/doi/10.1145/2525314.2525353
RT T1 <cTitle>Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems</cTitle>: T1 <Title>A probablistic model for spatio-temporal signal extraction from social media</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2525353&Exemplar=1&LAN=DE A1 Sengstock, Christian A1 Gertz, Michael A1 Flatow, Florian A1 Abdelhaq, Hamed PB ACM YR 2013 K1 Bayesian networks K1 social media K1 spatio-temporal data K1 Information systems K1 Information systems applications K1 Spatial-temporal systems K1 Human-centered computing K1 Visualization K1 Visualization application domains K1 Geographic visualization K1 Data mining SP 274 OP 283 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2525314.2525353 DO https://dl.acm.org/doi/10.1145/2525314.2525353 SF ELIB - SuUB Bremen
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