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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, the authors proposed a novel cloud computing approach to do linear regression prediction for dynamic currency exchange rates. They 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.
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