IEEE Workshop Data Science for Networking (DS4N)

Topics of interest include data science practices in areas of but not limited to: 

• Network monitoring, anomaly detection and localization, and root cause analysis

• Anomaly detection and root cause analysis in time series of network data

• Learning based network resource management and provisioning

• IoT network design and optimization

• SDN design and optimization

• Cloud provisioning, management and troubling shooting

• Customer profiling and behavior analysis, and retention 

• Deep learning applications in network operation and optimization

• Big data system management in networks or networking applications

• Graph computing for communication networks

• Mobile application behaviors and recommendation 

• Business and operational transformation through big data and learning

• Application of AI in network planning, optimization, and protocol design

• AI-assisted power and energy management in network

• Application of reinforcement learning in network management and control

• Data-driven network architecture design

• Network economics through machine learning

• Cost and benefit tradeoff of running machine learning based networking applications

• Security for machine learning applications in networking domain

• Machine learning applications in edge computing