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- W2394349712 abstract "NaIve Bayesian method is basic technology that has been applied widely for class knowledge discover in database.Since the restriction of attribute dependency in naIve Bayesian method,Rough set theory based Bayesian class knowledge mining method has been proposed.With this method,dependency relation between conditional attributions and class attribution has been taken synthetically into account,attributes of conditional attributions has been reduced based on rough set with its ability of attribution reduction,finally naIve Bayesian method with reduced attributions has been used for the class knowledge discover in database.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.
- W2394349712 created "2016-06-24" @default.
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- W2394349712 date "2007-01-01" @default.
- W2394349712 modified "2023-09-26" @default.
- W2394349712 title "Rough set based naIve bayesian classification algorithm and it’s application" @default.
- W2394349712 hasPublicationYear "2007" @default.
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