Cite
A new method of large-scale short-term forecasting of agricultural commodity prices: illustrated by the case of agricultural markets in Beijing.
MLA
Wu, Haoyang, et al. “A New Method of Large-Scale Short-Term Forecasting of Agricultural Commodity Prices: Illustrated by the Case of Agricultural Markets in Beijing.” Journal of Big Data, vol. 4, no. 1, Jan. 2017, pp. 1–22. EBSCOhost, https://doi.org/10.1186/s40537-016-0062-3.
APA
Wu, H., Wu, H., Zhu, M., Chen, W., & Chen, W. (2017). A new method of large-scale short-term forecasting of agricultural commodity prices: illustrated by the case of agricultural markets in Beijing. Journal of Big Data, 4(1), 1–22. https://doi.org/10.1186/s40537-016-0062-3
Chicago
Wu, Haoyang, Huaili Wu, Minfeng Zhu, Weifeng Chen, and Wei Chen. 2017. “A New Method of Large-Scale Short-Term Forecasting of Agricultural Commodity Prices: Illustrated by the Case of Agricultural Markets in Beijing.” Journal of Big Data 4 (1): 1–22. doi:10.1186/s40537-016-0062-3.