MINING THE INVESTOR’S PERCEPTION ABOUT DIFFERENT INVESTMENT OPTIONS USING CLUSTERING ANALYSIS
Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 9
Abstract
Investors’ expectation is a very significant factor that needs to be evaluating by all investment alternatives. The achievement of any investment policy depends on how successfully it has been able to convene the investors’ expectation. But, the organizations are facing the difficulty of variation and muddled behavior of customers, the lack of adequate information. Human analyst’s deficient a perceptive of the hidden patterns in business data, thus, can miss corporate business opportunities. In order to embrace all business opportunities, develop the competitiveness, finding of hidden knowledge and unpredicted patterns from large databases have provided a feasible solution for several decades. To overcome the organization current concern, the new variety of method is requisite that has intelligence and potential to solve the knowledge insufficiency and the method is called Data mining. The objective of this paper is to identify the investors’ perception about different investment options by one of the data mining technique – customer clustering. The study focuses on quantifying the investors' expectation and their predilection. It also attempts to estimate the factors that they take into consideration before making any investment in mutual fund as well as the consciousness level among individual investors regarding mutual fund investment. The sample survey has been conducted in Delhi.
Authors and Affiliations
Gunjan Batra , Vijaylaxmi , Anisha Gupta
Keywords
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