Data Mining Technique in Precious Metal Price Forecasting

Authors

  • Wesley Goh Yi Yong Universiti Tun Hussein Onn Malaysia
  • Suliadi Sufahani Universiti Tun Hussein Onn Malaysia

Keywords:

Time series; Box-Jenkins; Forecasting; Gold price

Abstract

This paper propose different techniques used in forecasting on time series analysis. Various techniques had been used in the field of time series forecasting from the traditional Box-Jenkins approach to the most popular neural network technique nowadays. However, there is no specifically the best method to deal with time series forecasting as the application of different time series forecasting methods has their own requirements and restrictions. In determining the movement of gold price, there are a lot of different method being implemented by various authors to propose their models. Various time series forecasting method have been discussed in this paper which consists of several journal articles that related to gold price and some of the data mining techniques in time series forecasting retrieved from Google Scholar in this review.

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Published

10-03-2019

How to Cite

Goh Yi Yong, W., & Sufahani, S. (2019). Data Mining Technique in Precious Metal Price Forecasting. Advances in Computing and Intelligent System, 1(1). Retrieved from https://acis.fazpublishing.com/index.php/acis/article/view/3