Semi-Supervised Machine Learning Aided Anomaly Detection Method in Cellular Networks

Mathematics

• Semi-supervised Learning 100%
• Anomaly Detection 97%
• Cellular Networks 93%
• Machine Learning 69%
• Support Vector Machine 29%
• Framework 13%
• Knowledge 12%
• Learning Algorithm 9%
• Monitor 9%
• Demand 7%
• Fluctuations 7%
• Operator 7%
• Class 6%
• Experiment 5%

Engineering & Materials Science

• Anomaly detection 65%
• Machine learning 46%
• Support vector machines 25%
• Big data 9%
• Learning algorithms 8%
• Experiments 3%