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A Comparison of Grammatical Bee Colony and Neural Networks in Medical Data Mining

by Tapas Si, Sk. Sujauddin
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 134 - Number 6
Year of Publication: 2016
Authors: Tapas Si, Sk. Sujauddin
10.5120/ijca2016907906

Tapas Si, Sk. Sujauddin . A Comparison of Grammatical Bee Colony and Neural Networks in Medical Data Mining. International Journal of Computer Applications. 134, 6 ( January 2016), 1-4. DOI=10.5120/ijca2016907906

@article{ 10.5120/ijca2016907906,
author = { Tapas Si, Sk. Sujauddin },
title = { A Comparison of Grammatical Bee Colony and Neural Networks in Medical Data Mining },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 134 },
number = { 6 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume134/number6/23915-2016907906/ },
doi = { 10.5120/ijca2016907906 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:33:23.640569+05:30
%A Tapas Si
%A Sk. Sujauddin
%T A Comparison of Grammatical Bee Colony and Neural Networks in Medical Data Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 134
%N 6
%P 1-4
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes a novel application of Grammatical Bee Colony for classification of medical data. Grammatical Bee Colony is a Swarm Programming algorithm generally used for automatic computer program generation in any arbitrary language. In this paper, Grammatical Bee Colony based classifier is designed and applied in medical data mining. The proposed method is applied on ten medical data sets and obtained results are compared with Multi-Layer Perceptron classifier trained with Levenberg-Marquardt algorithm. The proposed method statistically outperforms other method.

References
  1. J. Iavindrasana, G. Cohen, A. Depeursinge, H. Muller, R. Meyer and A. Geissbuhler, Clinical Data Mining: A Review, IMIA Yearbook of Medical Informatics, 2009.
  2. F. Amato et al.: Artificial neural networks in medical diagnosis, J Appl Biomed., Vol. 11, pp. 47–58, 2013. DOI:10.2478/v10136-012-0031-x
  3. T. Si, A. De, A.K. Bhattacharjee: Grammatical Bee Colony, In: B.K. Panigrahi et al. (Eds.): SEMCCO 2013, Part I, LNCS 8297, 2013, pp. 436–445
  4. http://cml.ics.uci.edu.
  5. L. Han, M. Kamber: Data Mining: Concepts and Techniques, Second Edition, Morgan Kaufmann Publishers, 2006.
  6. R. Barandela, J.S. Sanchez, V. Garc0 a and E. Rangel, Strategies for learning in class imbalance problems, Pattern Recognition, pp. 849–851, 2003.
  7. J. Derrac, S. Garcia, D. Molina, F. Herrera, A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms, Swarm and Evolutionary Computation, Vol. 1, pp. 3– 18, 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Medical data mining Machine learning Classification Swarm programming Grammatical bee colony Artificial neural network

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