Adaptive Two-Index Fusion Attribute-Weighted Naive Bayes

Adaptive Two-Index Fusion Attribute-Weighted Naive Bayes

Naive Bayes (NB) is one of the essential algorithms in data mining. However, it is rarely used in reality because of the attribute independence assumption. Researchers have proposed many improved NB methods to alleviate this assumption. Among these methods, due to its high efficiency and easy implem...

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Bibliographic Details
Main Authors: Xiaoliang Zhou, Donghua Wu, Zitong You, Dongyang Wu, Ning Ye, Li Zhang
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Electronics
Subjects:
general framework
naive Bayes
attribute weighting
regulatory factor
adaptive fusion
Online Access:https://www.mdpi.com/2079-9292/11/19/3126

Internet

https://www.mdpi.com/2079-9292/11/19/3126

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