Chapter 1 Learning from Our Movements – The Mobility Data Analytics Era

Chapter 2 Uncovering Hidden Concepts from AIS Data: A Network Abstraction of Maritime Traffic for Anomaly Detection

Chapter 4 Online Long-Term Trajectory Prediction Based on Mined Route Patterns

Chapter 5 EvolvingClusters: Online Discovery of Group Patterns in Enriched Maritime Data

Chapter 6 Prospective Data Model and Distributed Query Processing for Mobile Sensing Data Streams

Chapter 7 Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning

Chapter 8 A Neighborhood-Augmented LSTM Model for Taxi-Passenger Demand Prediction

Chapter 9 Multi-channel Convolutional Neural Networks for Handling Multi-dimensional Semantic Trajectories and Predicting Future Semantic Locations