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- W2363380929 abstract "In case of huge data sets and the data with higher dimentional space,Naive Bayesian may face the problems that get most class labels with costly and that the current classifying rules can't apadt the varied data.So,an incremental Naive Bayes algorithm based in rough-set dynamic Reduct has been brought up.The algorithm is shown as following:attributes of conditional attributions has been dynamic reduced based on rough set to get the minimum attributes.Then naive Bayesian method with reduced attributions has been used for knowledge discovering and class in database.The algorithm combines the advantage of Bayes Inference and dynamic Reduct.Experiment result indicates that The algorithm is advisable." @default.
- W2363380929 created "2016-06-24" @default.
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- W2363380929 date "2010-01-01" @default.
- W2363380929 modified "2023-09-25" @default.
- W2363380929 title "Rough set-based Dynamic Reduct Bayesian classifier to achieve" @default.
- W2363380929 hasPublicationYear "2010" @default.
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