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- W4212914458 abstract "Abstract Complaint prediction is a hot topic in current research. Due to complaint prediction is random, the accuracy of complaint prediction is not high. To solve this problem, this paper proposes a complaint prediction method based on feature weighted Naive Bayes. According to rough set theory, we first calculate the importance of each conditional attribute, combine the importance of attribute as the weight with the naive Bayes classifier to form a weighted naive Bayes classifier. We use multiple classifiers to make predictions, the latter classifier performs iterative learning on the basis of the previous classifier, and finally all classifiers are given different weights to make decisions. The experimental results show that the proposed method effectively combines the weighting method and the Naive Bayes method to achieve reliable prediction of complaints." @default.
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- W4212914458 date "2022-02-01" @default.
- W4212914458 modified "2023-09-25" @default.
- W4212914458 title "Research on complaint prediction based on feature weighted Naive Bayes" @default.
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- W4212914458 doi "https://doi.org/10.1088/1755-1315/983/1/012117" @default.
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