Earticle

초록

영어

In global open economy, the study of currency exchange rates prediction with acceptable accuracy under floating exchange rates environment becomes an important issue. Exchange rates can affect a large number of economic decision-makings and participants’ behaviors. Due to the rapid dynamic data changes and increasing large amount of data, accurate and effective currency exchange rates prediction is a rather challenging task. In this paper, we proposed a novel cloud computing approach to do linear regression prediction for dynamic currency exchange rates. We adopt an Intelligent Exchange Rates Prediction System (IERPS) based on cloud computing to collect real-time exchange rates information and predict the future exchange rates in efficient computing time. The system can process large amounts of historical and dynamic data more efficiently and accurately. The experimental results showed that the average error ratios of using linear regression are 94.6%, which is a very good performance.

목차

Abstract
 1. Introduction
 2. System Architecture
  2.1 Intelligent Exchange Rates Prediction System
  2.2 Cloud Server Platform
 3. Experiments
 4. Conclusions
 Acknowledgments
 References

키워드

저자

• Szu-Yin Lin [ Department of Information Management, Chung Yuan Christian University ]
• Chi-Hua Chen [ Institute of Information Management, National Chiao Tung University, Telecommunication Laboratories, Chunghwa Telecom Co. ]
• Chi-Chun Lo [ Institute of Information Management, National Chiao Tung University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605