Emperical Study Of Investors Preference Towards Investing In Commodity Futures Using Data Mining

Srinivas Murthy, Amit Kumar Marab, Channaveer Patil

Abstract


Financial Investment is the allocation of money to assets that are expected to yield some gain over period of time .It is an Exchange of Financial claims like stocks, derivatives and bonds of money .Investors have many options to invest their money ,commodity is one of the market where investors can invest and get returns .In this paper we use Commodities Market characteristics and background , gathered data and applied Apriori algorithm to extract Rules and Patterns for the enhancement of the organization. This will help to analyze investor’s preference investing in the commodity futures and measure the service provided by the organization.

 

Keywords: Commodity Market, Data mining, Weka, Association Rule Mining, Apriori Algorithm


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DOI: https://doi.org/10.26483/ijarcs.v3i5.1313

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