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A Dynamic Pipeline for Spatio-Temporal Fire Risk Prediction:
, In:
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
,
Singh Walia, Bhavkaran
;
Hu, Qianyi
;
Chen, Jeffrey
... - p. 764-773 , 2018
Link:
https://dl.acm.org/doi/10.1145/3219819.3219913
RT T1 <cTitle>Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>A Dynamic Pipeline for Spatio-Temporal Fire Risk Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3219913&Exemplar=1&LAN=DE A1 Singh Walia, Bhavkaran A1 Hu, Qianyi A1 Chen, Jeffrey A1 Chen, Fangyan A1 Lee, Jessica A1 Kuo, Nathan A1 Narang, Palak A1 Batts, Jason A1 Arnold, Geoffrey A1 Madaio, Michael PB ACM YR 2018 K1 civic risk modeling K1 fire risk K1 predictive modeling K1 spatio-temporal risk prediction K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Classification and regression trees SP 764 OP 773 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3219819.3219913 DO https://dl.acm.org/doi/10.1145/3219819.3219913 SF ELIB - SuUB Bremen
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