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1 Ergebnisse
1
Latent geographic feature extraction from social media:
, In:
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
,
Sengstock, Christian
;
Gertz, Michael
- p. 149-158 , 2012
Link:
https://dl.acm.org/doi/10.1145/2424321.2424342
RT T1 <cTitle>Proceedings of the 20th International Conference on Advances in Geographic Information Systems</cTitle>: T1 <Title>Latent geographic feature extraction from social media</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2424342&Exemplar=1&LAN=DE A1 Sengstock, Christian A1 Gertz, Michael PB ACM YR 2012 K1 feature extraction K1 geographic feature K1 social media K1 Information systems K1 Information systems applications K1 Data mining K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning K1 Cluster analysis SP 149 OP 158 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2424321.2424342 DO https://dl.acm.org/doi/10.1145/2424321.2424342 SF ELIB - SuUB Bremen
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