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

by Vikas Mongia, Gurpreet Singh
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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.

References
  1. H. Trevor, T. Robert, and F. Jerome, "The Elements of Statistical Learning: Data Mining, Inference, and Prediction. " Springer, Second Edition, 2009.
  2. Nguyen Thai Nghe, P. Janecek, and P. Haddawy, "A comparative analysis of techniques for predicting academic performance", ASEE/IEEE Frontiers in Education Conference, pp. T2G7-T2G12, 2007.
  3. Weka, University of Waikato, New Zealand, http://www. cs. waikato. ac. nz/ml/weka.
  4. Quinlan, J. R. : C4. 5: Programs for Machine Learning. MorganKauffman, 1993.
  5. Income Tax and Investment Journal – (AY-2008-09)–by A. N. Agarwal (Income tax expert), Rajesh Agrwal(CA), Sanjay Kulkari (CA), and Dr. Gajanan Patil. - ABC Publication- Nagpur.
  6. Dr. Binod Kumar Singh" A study on investors' attitude towards mutual funds as an investment option", International Journal of Research in Management ISSN 2249-5908 Issue2, Vol. 2 (March-2012
  7. Data Mining: Concepts and Techniques Second Edition Jiawei Han University of Illinois at Urbana-Champaign Micheline Kamber
  8. S. Saravana Kumar in his article "An Analysis of Investor Preference Towards Equity and Derivatives" published in The Indian journal of commerce, July-September 2010
  9. Mohammed M Mazid, A B M Shawkat Ali, Kevin S Tickle, 'Improved C4. 5 Algorithm for Rule Based Classification', Recent Advances in Artificial Intelligence, Knowledge Engineering and Data Bases.
  10. Chotirat "Ann" Ratanamahatana and Dimitrious Gunopulos, 'Scaling up the Naïve Bayesian Classifier: Using Decision Tree for Feature Selection'
  11. Jason R Beck, M Maria E Garcia, Mingyu Zhong, Michael Georgiopoulos, 'A Backward Adjusting Strategy for the C4. 5 Decision Tree Classifier', 2007 AMALTHEA REU SITE; Beck
  12. Hamidah Jantan and Abdual Razak Hamdan ,'Human Talent Prediction in HRM using C4. 5 Classification Algorithm' Hamidah Jantan et al. / (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 08, 2010, 2526-2534
  13. Nur Atiqah Rochin Demong, Jie Lu and Farookh Khader Hursain, 'Multidimensional and Data Mining Analysis for Property Investment Risk Analysis' World Academy of Science, Engineering and Technology vol:6 2012-12-21
  14. Meenakshi Chaturvedi and Shruti Khare, study of saving pattern and investment preferences of individual household in india, volume no. 3 (2012), issue no. 5 (may), issn 0976-2183
  15. http://technet. microsoft. com/enus/library/ms174949. aspx
Index Terms

Computer Science
Information Sciences

Keywords

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

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