Research on the Classification Based on Naïve Bayes

Yun Liu; Peng Zhou Zhang; Jun Peng Gong

doi:10.4028/www.scientific.net/AMM.543-547.1643

Paper Titles

Rotation Index-Based Vortex Extraction and High Quality Texture Advection for Surface Flow Field
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Information Entropy-Based Texture Adaptation for 3D Vector Field Visualization
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A Study of Single-Objective Particle Swarm Optimization and Multi-Objective Particle Swarm Optimization
p.1635

The Application of Decision Tree Algorithm in the Employment Management System
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Research on the Classification Based on Naïve Bayes
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A New Hybridization Method Using in NEAT
p.1647

An Classifying Approach Based on Fuzzy Cognitive Maps
p.1651

Comparative Analysis on Kernel Based Probability Density Estimation
p.1655

Research of a New SVM Kernel Function
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Research on the Classification Based on Naïve...

Research on the Classification Based on Naïve Bayes

Abstract:

With the advent of the era of big data, people increasingly strong demand for intelligent information. How to make news industry provide more accurate and efficient service for people has become a significant issue. This paper describes how to build a predictable model about Chinese news classification using Bayesian algorithms, and discusses the performance of Naive Bayesian model in different dataset environments, where contains unbalanced data and equilibrium data.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

1643-1646

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.1643

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Online since:

March 2014

Authors:

Yun Liu*, Peng Zhou Zhang, Jun Peng Gong

Keywords:

Big Data, Data Mining (DM), Machine Learning, Naive Bayes, News Classification

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* - Corresponding Author

References

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