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- W2364115864 abstract "Naive Bayesian method is basic technology that has been applied widely for class know-ledge discover in database.The naive Bayesian classifier can produce competitive predictive accuracy in many learning tasks,but it can be used only in complete databases.The rough set model based on similarity relationship can process the null,and it has attribute discretization and reduction functions SO that the dependency of the condition feature and the decision-making feature can be improved.Experiment result indicates that rough set based Bayesian class model can ameliorate the restriction of attributions independence in naive Bayesian method,simplify class mode mining model and optimize markedly performance of mining arithmetic." @default.
- W2364115864 created "2016-06-24" @default.
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- W2364115864 date "2010-01-01" @default.
- W2364115864 modified "2023-09-28" @default.
- W2364115864 title "A naive Bayesian Classification Algorithm Based on Rough Set" @default.
- W2364115864 hasPublicationYear "2010" @default.
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