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Clustering techniques typically group similar instances underlying individual attributes by supposing that similar instances have similar attributes characteristic. On contrary, clustering similar instances given a specific behavior is framed through supervised learning. For instance, which...
Persistent link: https://www.econbiz.de/10012043173
With the development of cognitive information technology and continuous application, human society has also accelerated the development. Cognitive information is widely used in the field of oil and gas, where production forecasts are of great importance to firms and companies. In this article,...
Persistent link: https://www.econbiz.de/10012043701
information of elements within a group or interval to the forecast. This idea outperforms the existing high order forecast methods …
Persistent link: https://www.econbiz.de/10012044816
discussions, as witnessed in the USA, Egypt, and South Africa. This paper challenges the underutilization of social media to …
Persistent link: https://www.econbiz.de/10012045419
model. Based on this assumption the author drives the optimal updating rule for the forecast of the next period when new …
Persistent link: https://www.econbiz.de/10005083331
output, employment, and labour productivity. In order to forecast the impacts of the cloud computing adoption, the Vector …
Persistent link: https://www.econbiz.de/10009372259
An empirical forecast accuracy comparison of the non-parametric method, known as multivariate Nearest Neighbor method … for dependent time series, providing confidence intervals for point forecast in time series. …
Persistent link: https://www.econbiz.de/10008461116
If theory-consistent models can ever hope to forecast well and to be useful for policy, theyhave to relate to data …
Persistent link: https://www.econbiz.de/10004990998
If theory-consistent models can ever hope to forecast well and to be useful for policy, they have to relate to data …
Persistent link: https://www.econbiz.de/10004991070