Visual Analytics for the International Trade

Haowen Jiang, Jiadong Shen, Qi-Feng Chou, Ziling Dong, Shenghui Cheng
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Abstract

International trade brings more and more attention to the public. Understanding the trade behaviour is essential for the policy makers as well as business leaders for decision making. Since the trade events are numerous and complex, it is challenging for people to catch up with the trade transactions let alone decision making. This paper applies the visualization techniques to show the trade trends and behaviours. With the visualization interface, it is much clear to understand the international trade and catch the significant trends. In addition, we also analyse the behaviour via mathematical modelling and data mining techniques. Our work assists a lot for government and business leaders to discover the trade patterns and make decisions.
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国际贸易的可视化分析
国际贸易越来越受到公众的关注。了解贸易行为对政策制定者和商业领袖的决策至关重要。由于贸易事件众多而复杂,人们很难赶上贸易交易,更不用说决策了。本文运用可视化技术来显示交易趋势和行为。通过可视化界面,可以更清楚地了解国际贸易,捕捉重要趋势。此外,我们还通过数学建模和数据挖掘技术分析了行为。我们的工作在很大程度上帮助政府和企业领导人发现贸易模式并做出决策。
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