Opportunities and challenges of commodity exchange bring form agricultural big data

Chende WANG; Nan WANG; Danxing CAO

doi:10.11959/j.issn.2096-0271.2016009

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Opportunities and challenges of commodity exchange bring form agricultural big data

Special topics:agricultural data | 更新时间：2024-06-03

- Opportunities and challenges of commodity exchange bring form agricultural big data
- BIG DATA RESEARCH Vol. 2, Issue 1, Pages: 2016009(2016)
- 作者机构：
  
  郑州商品交易所期货及衍生品研究所有限公司，河南郑州 450000
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2016009
  CLC： F713.1
- Online First：2016-01，
  
  Published：20 January 2016
- 稿件说明：
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Chende WANG, Nan WANG, Danxing CAO. Opportunities and challenges of commodity exchange bring form agricultural big data[J]. BIG DATA RESEARCH, 2016, 2(1): 2016009.
DOI：

Chende WANG, Nan WANG, Danxing CAO. Opportunities and challenges of commodity exchange bring form agricultural big data[J]. BIG DATA RESEARCH, 2016, 2(1): 2016009. DOI： 10.11959/j.issn.2096-0271.2016009.

摘要

研究了农业大数据对郑州商品交易所主要业务的促进作用。通过对农业大数据在交易所各个主要业务流程中扮演的重要角色的分析，表明基于农业大数据和期货大数据的数据挖掘可以提高交易所在交易、交割、结算、风控以及新产品研发等业务上的科学性、精准性、针对性。

Abstract

The active function of big data to the business of Zhengzhou commodity exchange (ZCE) was considered.The analysis of the important role which big data played in the main business streamline of ZCE indicated that data mining based on agricultural big data and futures big data helped to enhance the scientificalness

accuracy and pertinence of the exchange's main businesses such as commodity trading

delivery

settlement

risk control and new product development.

关键词

Keywords

references

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