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Framework for efficient feature selection in genetic algorithm based data mining

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  • Sikora, Riyaz
  • Piramuthu, Selwyn

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  • Sikora, Riyaz & Piramuthu, Selwyn, 2007. "Framework for efficient feature selection in genetic algorithm based data mining," European Journal of Operational Research, Elsevier, vol. 180(2), pages 723-737, July.
    • Handle: RePEc:eee:ejores:v:180:y:2007:i:2:p:723-737
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    References listed on IDEAS

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    1. Riyaz Sikora & Michael Shaw, 1994. "A Double-Layered Learning Approach to Acquiring Rules for Classification: Integrating Genetic Algorithms with Similarity-Based Learning," INFORMS Journal on Computing, INFORMS, vol. 6(2), pages 174-187, May.
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    Cited by:

    1. Qi Liu & Gengzhong Feng & Nengmin Wang & Giri Kumar Tayi, 2018. "A multi-objective model for discovering high-quality knowledge based on data quality and prior knowledge," Information Systems Frontiers, Springer, vol. 20(2), pages 401-416, April.
    2. Unler, Alper & Murat, Alper, 2010. "A discrete particle swarm optimization method for feature selection in binary classification problems," European Journal of Operational Research, Elsevier, vol. 206(3), pages 528-539, November.
    3. Huaijun Wang & Ruomeng Ke & Junhuai Li & Yang An & Kan Wang & Lei Yu, 2018. "A correlation-based binary particle swarm optimization method for feature selection in human activity recognition," International Journal of Distributed Sensor Networks, , vol. 14(4), pages 15501477187, April.
    4. Ding‐Wen Tan & William Yeoh & Yee Ling Boo & Soung‐Yue Liew, 2013. "The Impact Of Feature Selection: A Data‐Mining Application In Direct Marketing," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 20(1), pages 23-38, January.
    5. Mohd Afizi Mohd Shukran & Yuk Chung & Wei-Chang Yeh & Noorhaniza Wahid & Ahmad Mujahid Ahmad Zaidi, 2011. "Artificial Bee Colony based Data Mining Algorithms for Classification Tasks," Modern Applied Science, Canadian Center of Science and Education, vol. 5(4), pages 217-217, August.
    6. Qi Liu & Gengzhong Feng & Nengmin Wang & Giri Kumar Tayi, 0. "A multi-objective model for discovering high-quality knowledge based on data quality and prior knowledge," Information Systems Frontiers, Springer, vol. 0, pages 1-16.

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