Conversion of categorical variables into numerical variables via Bayesian network classifiers for binary classifications

Keyphrases

• Categorical Variables 100%
• Binary Classification 100%
• Bayesian Network Classifiers 100%
• Numerical Variables 100%
• World Data 40%
• Mixed Data 20%
• Large-scale Networks 20%
• Classification Algorithms 20%
• Effective Method 20%
• Support Vector Machine 20%
• Data Loss 20%
• Learning Theory 20%
• Computational Efficiency 20%
• Robustness to Noise 20%
• Artificial Data 20%
• Pattern Classification 20%
• Multilayer Perceptron 20%
• Minimum Bit Error Rate 20%
• Learning Bayesian Networks 20%
• K-nearest 20%
• Accurately Model 20%

Mathematics

• Binary Classification 100%
• Bayesian Network 100%
• Categorical Variable 100%
• Real-World Data 66%
• Nearest Neighbor 33%
• Support Vector Machine 33%
• Data Consist 33%
• Multilayer Perceptron 33%
• Error Rate 33%