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A Hybrid Approach for Integrating Genetic Algorithms with SVM for Classification and Modelling Higher Education Data
2013
International Journal of Science and Research
unpublished
Higher education institutions are hub of research and future development acting in a competitive scenario, with the basic goal to generate, gather and share knowledge. In this research work my objective is to explore data mining technique like classification, clustering on higher education data, my objective is to integrate genetic algorithm (GA) andsupport vector machines algorithm(SMO),for integration of two classifiers we use ensemble stacking, which is a fusion of classifiers. We present a
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