Efficient divide-and-conquer classification based on parallel feature-space decomposition for distributed systems

Computer Science

• Distributed Systems 100%
• Feature Space 100%
• Large Scale Data 40%
• Scale Data Set 40%
• Support Vector Machine 20%
• Decomposition Method 20%
• Kernel Method 20%
• Performance Evaluation 20%
• classification result 20%
• Training Sample 20%
• Reducing Error 20%

Keyphrases

• Fast Support Vector Machine 20%
• Feature Subspace 20%
• Data Refinement 20%