Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Hybrid Case-based Reasoning and Genetic Algorithms Approach for Customer Classification

  • Published : 2005.12.01
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Abstract

This study proposes hybrid case-based reasoning and genetic algorithms model for customer classification. In this study, vertical and horizontal dimensions of the research data are reduced through integrated feature and instance selection process using genetic algorithms. We applied the proposed model to customer classification model which utilizes customers' demographic characteristics as inputs to predict their buying behavior for the specific product. Experimental results show that the proposed model may improve the classification accuracy and outperform various optimization models of typical CBR system.

Keywords

References

  1. T.R. Babu and M.N. Murty, 'Comparison of genetic algorithm based prototype selection schemes,' Pattern Recognition, vol. 34, pp. 523-525, 2001 https://doi.org/10.1016/S0031-3203(00)00094-7
  2. K. Kim, 'Toward global optimization of case-based reasoning systems for financial forecasting,' Applied Intelligence, vol. 21, no. 3, pp. 239-249, 2004 https://doi.org/10.1023/B:APIN.0000043557.93085.72
  3. L.I. Kuncheva and L.C. Jain, 'Nearest neighbor classifier: Simultaneous editing and feature selection,' Pattern Recognition Letters, vol. 20, pp. 1149-1156, 1999 https://doi.org/10.1016/S0167-8655(99)00082-3
  4. A. Rozsypal and M. Kubat, 'Selecting representative examples and attributes by a genetic algorithm,' Intelligent Data Analysis, vol. 7, pp. 291-304, 2003
  5. K.S. Shin and I. Han, 'Case-based reasoning supported by genetic algorithms for corporate bond rating,' Expert Systems with Applications, vol. 16, pp. 85-95, 1999 https://doi.org/10.1016/S0957-4174(98)00063-3
  6. W. Siedlecki and J. Sklanski, 'A note on genetic algorithms for large-scale feature selection,' Pattern Recognition Letters, vol. 10, pp. 335-347, 1989 https://doi.org/10.1016/0167-8655(89)90037-8