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2023 | OriginalPaper | Chapter

Application of Decision Tree and Bayesian Classification Algorithm in Visual Communication Design

Author : Jing Bai

Published in: Frontier Computing

Publisher: Springer Nature Singapore

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Abstract

The application of decision tree and Bayesian classification algorithm in visual communication design is to find the best solution or model for a given problem. The decision tree is used to classify the project into one of the predefined classes according to the characteristics of the project. It helps to find out which function has the maximum, minimum or average value among all other functions. The output of this model can be used as the input of Bayesian classifier so that it can provide a good prediction of future values based on past data. The application in visual communication design is the process of using decision tree to help you decide which elements should be included in the design. The decision tree is used to determine whether the user can complete an action (such as clicking an element) without encountering any problems.

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Metadata
Title
Application of Decision Tree and Bayesian Classification Algorithm in Visual Communication Design
Author
Jing Bai
Copyright Year
2023
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-99-1428-9_254