Efficient music genre prediction system using novel enhanced decision tree classifier over Naive Bayes with improved accuracy

G. Varun Sai; K. Thinakaran

doi:10.1063/5.0258572

ScienceGate Book Chapters

JOURNAL ARTICLE

Efficient music genre prediction system using novel enhanced decision tree classifier over Naive Bayes with improved accuracy

G. Varun Sai K. Thinakaran

Year: 2025 Journal: AIP conference proceedings Vol: 3252 Pages: 020064-020064 Publisher: American Institute of Physics

DOI: 10.1063/5.0258572

Get Full-Text PDF Get Analytical Report

Keywords:

Naive Bayes classifier Decision tree Computer science Artificial intelligence Machine learning Decision tree learning Classifier (UML) Decision system Data mining Support vector machine Mathematics Operations research

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.06

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Scientific and Engineering Research Topics

Health Sciences → Dentistry → Periodontics

Infrastructure Maintenance and Monitoring

Physical Sciences → Engineering → Civil and Structural Engineering

Music and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Efficient music genre prediction system using novel enhanced decision tree classifier over Naive Bayes with improved accuracy

Metrics

Topics

Related Documents

An efficient crop prediction system using enhanced naive bayes classifier compared over Adaboost classifier with improved accuracy

Hypertension Prediction System Using Naive Bayes Classifier

Naive Bayes and Decision Tree Classifier for Streaming Data Using HBase

Efficient twins identification using novel decision tree and comparing the accuracy with Naive Bayes

Vulnerability analysis using Naive Bayes and compare prediction accuracy over decision tree analysis