Large-scale Network Traffic Prediction With LSTM and Temporal Convolutional Networks

Keyphrases

• Anomaly Detection 14%
• Autoregressive Integrated Moving Average (ARIMA) 14%
• Backpropagation 14%
• Business Requirements 14%
• Computing Networks 14%
• Congestion Control 14%
• Extreme Gradient Boosting 14%
• Improved Prediction 14%
• Large-scale Networks 100%
• Least Squares Support Vector Regression (LSSVR) 14%
• Long Short-term Memory 100%
• Long-range Dependence 14%
• Network Performance 14%
• Network Resources 14%
• Network Traffic 14%
• Network Traffic Prediction 100%
• Performance Indicators 14%
• Precise Prediction 14%
• Prediction Accuracy 14%
• Prediction Approach 14%
• Resource Base 14%
• Savitzky-Golay 14%
• Savitzky-Golay Filter 14%
• Temporal Convolutional Network 100%
• Temporal Features 14%
• Time Prediction 14%
• User Application 14%
• Volume Uncertainty 14%
• Work Design 14%

Computer Science

• Anomaly Detection 14%
• Backpropagation 14%
• Business Requirement 14%
• Congestion Control 14%
• Experimental Result 14%
• Extreme Gradient Boosting 14%
• Long Short-Term Memory Network 100%
• Moving Average 14%
• Network Performance 14%
• Network Resource 14%
• Network Traffic 100%
• Performance Indicator 14%
• Prediction Accuracy 14%
• Support Vector Regression 14%
• Temporal Characteristic 14%
• Temporal Convolutional Network 100%
• Term Dependency 14%
• Traffic Prediction 100%
• User Application 14%