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- W2357283019 abstract "The problem of defective data often arises during the course of data mining.Thus data preprocessing is necessary.In the traditional data preprocessing,naive Bayesian method is commonly used to remedy defective data.However,the assumption that attributes are independent is always unfit for data of real world,and the classification result is unsatisfactory.On the basis of clustering analysis,this paper presents an improved Bayesian method.The result of calculations on mass data shows that this method is more reasonable and believable compared with naive Bayesian method." @default.
- W2357283019 created "2016-06-24" @default.
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- W2357283019 date "2006-01-01" @default.
- W2357283019 modified "2023-09-26" @default.
- W2357283019 title "Application of Clustering Analysis in Bayesian Method" @default.
- W2357283019 hasPublicationYear "2006" @default.
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