Big data-driven anomaly detection in cellular networks (Invited Paper)

Keyphrases

• Big Data 100%
• Cellular Networks 100%
• Big Data-driven 100%
• Data-driven Anomaly Detection 100%
• Cell Outage 66%
• Resource Allocation 33%
• Invisible 33%
• Valuable Insight 33%
• Statistical Methods 33%
• Network Architecture 33%
• Core Network 33%
• Call Detail Records 33%
• Anomaly Detection 33%
• Operational Expenditure 33%
• User Activity 33%
• Sleeping Cell 33%
• Anomaly Detection System 33%
• User Traffic 33%
• Traffic Area 33%
• High Users 33%
• Fault Avoidance 33%
• Additional Resources 33%
• Anomalous Behavior 33%
• Special Actions 33%
• Future Cellular Networks 33%
• Subscriber 33%
• Complex Data 33%
• Mobile Networks 33%
• 4G LTE 33%
• Underutilization 33%
• Capacity Shortage 33%
• Cellular Network Operators 33%
• Partial Cell 33%
• Machine Learning Algorithms 33%

Computer Science

• Big Data 100%
• Anomaly Detection 100%
• Cellular Network 100%
• Resource Allocation 25%
• Network Architecture 25%
• Call Detail Record 25%
• Operational Expenditure 25%
• Mobile Network 25%
• Machine Learning Algorithm 25%
• Network Operator 25%
• Anomalous Behavior 25%
• Anomaly-Based Detection 25%

Engineering

• Big Data 100%
• Cellular Network 100%
• Anomaly Detection 100%
• Outages 50%
• Infrastructure 25%
• Core Network 25%
• Network Operator 25%
• Detection Technique 25%
• Machine Learning Algorithm 25%
• Raw Data 25%