Computer Science
5 years ago

Naïve Bayes Classifier Revolutionizes Journal Quartile Classification Accuracy to 71.60%

International Journal of Recent Contributions from Engineering Science & IT (iJES)
Naïve Bayes Classifier for Journal Quartile Classification
Aji Prasetya Wibawa, Ahmad Chandra Kurniawan, Della Murbarani Prawidya Murti, Risky Perdana Adiperkasa, Sandika Maulana Putra, Sulton Aji Kurniawan, Youngga Rega Nugraha

Paper Summary

Related papers

Theme background image
Computer Science
3 years ago

Optimal Bayes Classifier Minimizes Error, Revolutionizing Pattern Recognition

Bayesian Networks
Data Mining Techniques
AI Planning
2 views
Theme background image
Computer Science
5 years ago

New Fast Weighted Bayes Algorithm Outperforms Traditional Classifiers in Data Analysis

Imbalanced Data
Data Mining Techniques
Multi-label Classification
Theme background image
Computer Science
8 years ago

Revolutionizing text classification: Adaptive adjustment boosts accuracy and simplicity!

Expert Systems

The Naïve Bayes Classifier was used to classify the quality of journals into quartiles. By combining previous and new knowledge, this method achieved an accuracy of 71.60% and an error rate of 28.40% on a dataset of 1491 instances.