Instance selection using one-versus-all and one-versus-one decomposition approaches in multiclass classification datasets

Keyphrases

• Area under the ROC Curve 10%
• Binary Class 10%
• Classification Datasets 100%
• Complex Domain 10%
• Data Cleaning 10%
• Data for Good 10%
• Data Preprocessing 10%
• Data Reduction Rate 10%
• Decomposition Approach 100%
• Divide-and-conquer 10%
• Effective Model 10%
• Instance Selection 100%
• K-nearest 10%
• Medical Domain 10%
• Model Learning 10%
• Multi-class Classification 100%
• Multi-class Dataset 20%
• Noisy Data 10%
• One-versus-one Decomposition 100%
• One-vs-One 100%
• Preprocessing Techniques 10%
• Problem Domain 10%
• Processing Time 10%
• Reduced Training Set 10%
• Redundant Data 10%
• Selection Algorithm 40%
• Selection Performance 10%
• Support Vector Machine 10%
• Training Set 10%
• Validation Studies 10%

Computer Science

• Baseline Approach 25%
• Data Cleaning 12%
• Data Mining 12%
• Data Preprocessing 12%
• Data Processing 12%
• Data Reduction 12%
• Instance Selection 100%
• Medical Domain 12%
• Multiclass Classification 100%
• Nearest Neighbors Classifier 12%
• Preprocessing Step 12%
• Problem Domain 12%
• Processing Time 12%
• Support Vector Machine 12%