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1 Ergebnisse
1
Building Explainable Predictive Analytics for Location-Depe..:
, In:
2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI)
,
Chiang, Yao-Yi
;
Lin, Yijun
;
Franklin, Meredith
... - p. 202-209 , 2019
Link:
https://doi.org/10.1109/CogMI48466.2019.00037
RT T1 <cTitle>2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI)</cTitle>: T1 <Title>Building Explainable Predictive Analytics for Location-Dependent Time-Series Data</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8998977&Exemplar=1&LAN=DE A1 Chiang, Yao-Yi A1 Lin, Yijun A1 Franklin, Meredith A1 Eckel, Sandrah P. A1 Ambite, Jose Luis A1 Ku, Wei-Shinn YR 2019 K1 Spatiotemporal phenomena K1 Predictive models K1 Machine learning K1 Atmospheric modeling K1 Data models K1 Air pollution K1 spatial data science K1 spatio temporal data K1 predictive analytics K1 machine learning SP 202 OP 209 LK http://dx.doi.org/https://doi.org/10.1109/CogMI48466.2019.00037 DO https://doi.org/10.1109/CogMI48466.2019.00037 SF ELIB - SuUB Bremen
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