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Big data techniques for public health : a case study:
, In:
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies
,
Katsis, Yannis
;
Balac, Natasha
;
Chapman, Derek
... - p. 222-231 , 2017
Link:
https://dl.acm.org/doi/10.1109/CHASE.2017.81
RT T1
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies
: T1
Big data techniques for public health : a case study
UL https://suche.suub.uni-bremen.de/peid=acm-3204125&Exemplar=1&LAN=DE A1 Katsis, Yannis A1 Balac, Natasha A1 Chapman, Derek A1 Kapoor, Madhur A1 Block, Jessica A1 Griswold, William G. A1 Huang, Jeannie A1 Koulouris, Nikos A1 Menarini, Massimiliano A1 Nandigam, Viswanath A1 Ngo, Mandy A1 Ong, Kian Win A1 Papakonstantinou, Yannis A1 Smith, Besa A1 Zarifis, Konstantinos A1 Woolf, Steven A1 Patrick, Kevin PB IEEE Press YR 2017 K1 Computing methodologies K1 Computer graphics K1 Shape modeling K1 Point-based models SP 222 OP 231 LK http://dx.doi.org/https://dl.acm.org/doi/10.1109/CHASE.2017.81 DO https://dl.acm.org/doi/10.1109/CHASE.2017.81 SF ELIB - SuUB Bremen
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