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- W2751181926 abstract "Considering the poor performance of traditional Naive Bayesian classification algorithm which caused by its restriction of assumptions that attributes are independent between each other, an integration method combining Rough Set with Naive Bayesian classification algorithm is proposed to improve the performance of Naive Bayesian classifier for employment guidance knowledge mining in personal resume and employment database. The method use Rough Set as preprocessing procedures to delete redundant attributions in personal resume and employment dataset, get core attributions subset which are independent each other, and get classification knowledge in database with Naive Bayesian classification algorithm. Experiment result indicates that the performance of the integration method can be improved effectively, and can play significant performance in practice of mining classification knowledge for employment guidance in database of personal resume and employment." @default.
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- W2751181926 date "2012-05-11" @default.
- W2751181926 modified "2023-09-26" @default.
- W2751181926 title "An Integration Method Combining Rough Set with Naïve Bayes for Employment Guidance Knowledge Mining" @default.
- W2751181926 doi "https://doi.org/10.1109/icee.2012.1054" @default.
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