Big Data Analytics for Vehicular Edge Networks: Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks

Keyphrases

• Big Data Analytics 100%
• Machine Learning Algorithms 100%
• Cloud Computing Networks 100%
• Vehicular Edge Networks 100%
• Wireless Ad Hoc Networks 100%
• Cloud Computing 66%
• Travellers 66%
• Edge Computing 66%
• Edge Nodes 66%
• Vehicular Cloud 66%
• Vehicle Data 66%
• Correctness Prediction 66%
• Logistic Regression 33%
• Decision Maker 33%
• Urbanization 33%
• Intelligent Systems 33%
• Data Mining Techniques 33%
• Vehicular Ad Hoc Networks 33%
• Big Data 33%
• Execution Time 33%
• Computability 33%
• Process Data 33%
• Service Information 33%
• Classification Algorithms 33%
• Computational Complexity 33%
• Object Detection 33%
• Congestion 33%
• Cloud Server 33%
• Private Car 33%
• Emergency Service 33%
• Promising Technology 33%
• Expected Outcomes 33%
• Prefetching 33%
• Optimal Algorithm 33%
• Human Assistance 33%
• Traffic Signals 33%
• Accident Detection System 33%
• Meaningful Information 33%
• Classified Information 33%
• Extracting Information 33%
• Roadside Unit 33%
• Network Security Model 33%
• Transportation Planning 33%
• Vehicle Big Data 33%
• Road Condition 33%
• Automatic Decision 33%
• Structured Data 33%
• Multiple Resources 33%
• Throughput Time 33%
• Delay Tolerance 33%
• Intelligent Transportation Systems 33%
• Autonomous Driving Vehicles 33%
• Delay Time 33%
• Cloud Network Security 33%
• Vehicle Control 33%
• Prediction Algorithms 33%
• Urban Traffic Control 33%
• Classification Prediction 33%
• Big Data Prediction 33%
• Delay Accuracy 33%
• Intelligent Decision 33%
• Edge Server 33%
• Road Safety Measures 33%
• Infotainment Services 33%
• Delay-sensitive Applications 33%

Computer Science

• Big Data Analytics 100%
• Machine Learning Algorithm 100%
• Big Data 100%
• wireless ad hoc network 100%
• Cloud Computing 100%
• Vehicular Cloud 66%
• Edge Computing 66%
• Paradigm Shift 66%
• Collected Data 33%
• Computational Complexity 33%
• Decision Maker 33%
• Logistic Regression 33%
• Execution Time 33%
• Computability 33%
• Data Mining Algorithm 33%
• Traffic Control 33%
• Vehicle Control 33%
• Network Security 33%
• Classification Algorithm 33%
• Object Detection 33%
• Transportation Planning 33%
• Sensitive Application 33%
• Data-Stores 33%
• Optimal Algorithm 33%
• Minimum Classification 33%
• Vehicular Network 33%
• Security Model 33%
• Autonomous Driving 33%
• Structured Data 33%
• Throughput Time 33%
• Edge Server 33%
• Structured Format 33%
• Prefetch 33%
• Multiple Resource 33%
• Expected Result 33%
• Traffic Signal 33%
• Extract Information 33%
• Transportation Domain 33%
• Information Service 33%
• Intelligent Transportation System 33%