Forecasting for big data: does suboptimality matter?
Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
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Forecasting for big data: does suboptimality matter? / Nikolopoulos, Konstantinos; Petropoulos, F.
Yn: Computers and Operations Research, Cyfrol 98, 10.2018, t. 322-329.
Yn: Computers and Operations Research, Cyfrol 98, 10.2018, t. 322-329.
Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
HarvardHarvard
Nikolopoulos, K & Petropoulos, F 2018, 'Forecasting for big data: does suboptimality matter?', Computers and Operations Research, cyfrol. 98, tt. 322-329. https://doi.org/10.1016/j.cor.2017.05.007
APA
Nikolopoulos, K., & Petropoulos, F. (2018). Forecasting for big data: does suboptimality matter? Computers and Operations Research, 98, 322-329. https://doi.org/10.1016/j.cor.2017.05.007
CBE
Nikolopoulos K, Petropoulos F. 2018. Forecasting for big data: does suboptimality matter?. Computers and Operations Research. 98:322-329. https://doi.org/10.1016/j.cor.2017.05.007
MLA
Nikolopoulos, Konstantinos a F. Petropoulos. "Forecasting for big data: does suboptimality matter?". Computers and Operations Research. 2018, 98. 322-329. https://doi.org/10.1016/j.cor.2017.05.007
VancouverVancouver
Nikolopoulos K, Petropoulos F. Forecasting for big data: does suboptimality matter? Computers and Operations Research. 2018 Hyd;98:322-329. Epub 2017 Mai 11. doi: 10.1016/j.cor.2017.05.007
Author
RIS
TY - JOUR
T1 - Forecasting for big data
T2 - does suboptimality matter?
AU - Nikolopoulos, Konstantinos
AU - Petropoulos, F.
PY - 2018/10
Y1 - 2018/10
U2 - 10.1016/j.cor.2017.05.007
DO - 10.1016/j.cor.2017.05.007
M3 - Article
VL - 98
SP - 322
EP - 329
JO - Computers and Operations Research
JF - Computers and Operations Research
SN - 0305-0548
ER -