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How AI Can Help Build Resiliency for Small Businesses in a ..:
, In:
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
,
Ho, Nhung
- p. 3606 ff. , 2020
Link:
https://dl.acm.org/doi/10.1145/3394486.3409556
RT T1 <cTitle>Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>How AI Can Help Build Resiliency for Small Businesses in a Global Economic Crisis</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3409556&Exemplar=1&LAN=DE A1 Ho, Nhung PB ACM YR 2020 K1 forecasting K1 parallel model training K1 time series algorithms K1 Mathematics of computing K1 Probability and statistics K1 Statistical paradigms K1 Time series analysis K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Supervised learning by classification K1 Supervised learning by regression K1 Machine learning approaches K1 Classification and regression trees K1 Computer systems organization K1 Architectures K1 Distributed architectures K1 Cloud computing SP 3606 ff. LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3394486.3409556 DO https://dl.acm.org/doi/10.1145/3394486.3409556 SF ELIB - SuUB Bremen
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