Analyzing movement predictability using human attributes and behavioral patterns

Keyphrases

• Human Attributes 100%
• Behavioral Patterns 100%
• Human Behavioral 100%
• Stay Point 100%
• Prediction Accuracy 40%
• Prediction Model 40%
• Population-based 20%
• Demographic Characteristics 20%
• Workplace 20%
• User Populations 20%
• Point Prediction 20%
• Preprocessing Techniques 20%
• Personal Model 20%
• Confidence Score 20%
• Human Mobility 20%
• Transportation Planning 20%
• Long Short-term Memory Architecture 20%
• Deep Learning Model 20%
• Human Movement 20%
• Significant Places 20%
• Service Planning 20%
• Markov Model 20%
• Mobility Prediction 20%
• Personalized Mobile Services 20%
• Human Mobility Prediction 20%
• Location Prediction 20%
• Long Short-term Memory Neural Network 20%
• Characteristic Attributes 20%
• Movement Prediction 20%
• Targeted Advertising 20%
• Trajectory Features 20%

Computer Science

• Behavioral Pattern 100%
• Prediction Model 100%
• Prediction Accuracy 50%
• User Population 50%
• Confidence Score 50%
• Transportation Planning 50%
• Long Short-Term Memory Network 50%
• Memory Architecture 50%
• Deep Learning Model 50%
• mobile service 50%
• Long Short-Term Memory Neural Network 50%
• Targeted Advertising 50%
• Global Positioning System 50%