Multinomial naïve Bayesian classifier with generalized Dirichlet priors for high-dimensional imbalanced data-Reference-Cited by-同舟云学术

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Multinomial naïve Bayesian classifier with generalized Dirichlet priors for high-dimensional imbalanced data

Published:2021-09 Issue: Volume:228 Page:107288
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Wong Tzu-Tsung,Tsai Hsing-Chen

Funder

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference38 articles.

1. Learning from imbalanced data: open challenges and future directions;Krawczyk;Prog. Artif. Intell.,2016

2. Alternative prior assumptions for improving the performance of naïve Bayesian classifiers;Wong;Data Min. Knowl. Discov.,2009

3. Generalized Dirichlet priors for Naïve Bayesian classifiers with multinomial models in document classification;Wong;Data Min. Knowl. Discov.,2014

4. SMOTE: synthetic minority over-sampling technique;Chawla;J. Artificial Intelligence Res.,2002

5. A novel minority cloning technique for cost-sensitive learning;Jiang;Int. J. Pattern Recognit. Artif. Intell.,2015

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