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Prediction of Commodities Market by Using Data Mining Technique

S. Parkavi*, S.Sasikumar**, M. Venkatesh Saravanakuma***

* PG Scholar, Department of Computer Science, Sri Vijay Vidyalaya College of Arts and Science, Dharmapuri, India.

**-*** Assistant Professor, Department of Computer Science, Sri Vijay Vidyalaya College of Arts and Science, Dharmapuri, India.

Periodicity:March - May'2016
DOI : https://doi.org/10.26634/jcom.4.1.5988

Abstract

Data mining is a technology which is used to find interesting pattern between huge datasets. Commodity market is said to be a huge collection of various commodities, Gold, Oil, etc, which are referred to as hard commodities. In ancient days, gold coins were a medium of exchange. Another important commodity is oil. The price of oil changes daily, which has an impact on every goods and services provided. A country can make a payment via paper currency. This mode can be changed to exchange of gold at a fixed rate. The exchange rate between currencies was based on the amount of currencies needed to purchase one ounce of gold. US dollar is widely accepted as an instrument of global currency exchange. The gold price is directly related to USD. This paper examines the relationship between the rate of gold and oil with respect to USD. This also explores the commodity Market based on USD. The price of Gold, Oil and the US dollar share different relationships, in different circumstances. This paper explores the interesting pattern that exists in the commodity market.

Keywords

Data Mining, USD, Huge Datasets, Stock Market.

How to Cite this Article?

Parkavi, S., Sasikumar, S., and Saravanakumar, M.V. (2016). Prediction of Commodities Market by Using Data Mining Technique. i-manager’s Journal on Computer Science, 4(1), 16-27. https://doi.org/10.26634/jcom.4.1.5988

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Single Article

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Online	15	15

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