Improved naive Bayes classification algorithm for traffic risk management

Improved naive Bayes classification algorithm for traffic risk management

Abstract Naive Bayesian classification algorithm is widely used in big data analysis and other fields because of its simple and fast algorithm structure. Aiming at the shortcomings of the naive Bayes classification algorithm, this paper uses feature weighting and Laplace calibration to improve it, a...

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Bibliographic Details
Main Authors: Hong Chen, Songhua Hu, Rui Hua, Xiuju Zhao
Format: Article
Language:English
Published: SpringerOpen 2021-06-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Improved naive Bayesian classification algorithm
Discrimination analysis
Multivariate logistic regression
Feature weighted
Traffic risk management
Online Access:https://doi.org/10.1186/s13634-021-00742-6

Internet

https://doi.org/10.1186/s13634-021-00742-6

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