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Reseach Article

Automatic Evaluation of Best Investment Options for Investors using Optimal Decision Tree Algorithm

by Vikas Mongia, Gurpreet Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Number 20
Year of Publication: 2014
Authors: Vikas Mongia, Gurpreet Singh
10.5120/16914-7014

Vikas Mongia, Gurpreet Singh . Automatic Evaluation of Best Investment Options for Investors using Optimal Decision Tree Algorithm. International Journal of Computer Applications. 96, 20 ( June 2014), 39-44. DOI=10.5120/16914-7014

@article{ 10.5120/16914-7014,
author = { Vikas Mongia, Gurpreet Singh },
title = { Automatic Evaluation of Best Investment Options for Investors using Optimal Decision Tree Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 96 },
number = { 20 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 39-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume96/number20/16914-7014/ },
doi = { 10.5120/16914-7014 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:22:19.697863+05:30
%A Vikas Mongia
%A Gurpreet Singh
%T Automatic Evaluation of Best Investment Options for Investors using Optimal Decision Tree Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 96
%N 20
%P 39-44
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Investment decision is a major issue for every individual. The spectrum of investment is extremely wide. Many investment options are available for the investor. People are not aware of best saving scheme for their investment. This paper deals with eliction of information from various domain experts to suggest the investor best investment option for his investment. The decision is based upon various parameters of the investor. A refined algorithm helps the investor to make an effective decision for his investment which suits their requirement. In this study data has been collected from 500 persons through questionnaires and interviews. Expert's rules and feature reduction technique have been applied to this data set to convert it into an optimal dataset. Decision tree technique is applied to this dataset to make investment decisions. Finally, the comparison has been done between our approach and existing approach.

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Index Terms

Computer Science
Information Sciences

Keywords

Data mining Decision tree C4. 5 PL/SQL Expert rules gain ratio feature reduction