Forecasting on Equipment Manufacturing Industry Development in View of Big Data

DOI

10.2991/ammsa-17.2017.59How to use a DOI?

Keywords

forecasting; equipment manufacturing industry; big data; metal products industry; Automobile manufacturing industry

Abstract

Big data are widely used today, whether and how to use big data in economic variables forecast has become a new field of economic research. The equipment manufacturing industry is the foundation of the national economic development, so forecasts the development of equipment manufacturing industry is a very important research. In equipment manufacturing industry development forecasting, two types of data can be applied, namely traditional government statistical data and online data. Government statistical data are well-structured, whereas online data is unstructured information. This paper explores whether online data can help us to forecast equipment manufacturing industry development and analyze the best model to forecast. We find that traditional government statistical data and online data both can help forecast, so when we doing the forecasting, we should use the traditional government statistical data and online data at the same time.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaofei Xu
AU  - Yanjuan Cui
PY  - 2017/05
DA  - 2017/05
TI  - Forecasting on Equipment Manufacturing Industry Development in View of Big Data
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 266
EP  - 269
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.59
DO  - 10.2991/ammsa-17.2017.59
ID  - Xu2017/05
ER  -