Utilizing a machine learning algorithm to choose a significant traffic identification system

INIS

• accuracy 50%
• algorithms 100%
• applications 50%
• calculation methods 50%
• classification 50%
• datasets 100%
• decision tree analysis 50%
• detection 50%
• devices 100%
• forests 50%
• identification systems 100%
• internet 50%
• machine learning 100%
• performance 50%
• precision 50%
• randomness 50%
• specificity 50%
• storage 50%
• testing 50%

Computer Science

• adaptive boosting 50%
• Attack Traffic 50%
• Bootstrap Method 50%
• Botnets 50%
• Classification Models 50%
• Conventional Model 50%
• Critical Infrastructure 50%
• Decision Trees 50%
• Linked-In 50%
• Machine Learning Algorithm 100%
• Random Decision Forest 50%
• System Identification 100%
• Training Dataset 50%