Large volumes of spatio-temporal data are increasingly collected and studied in diverse
domains, including climate science, social sciences, neuroscience, epidemiology …

The advances in location-acquisition and mobile computing techniques have generated
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …

This textbook explores the different aspects of data mining from the fundamentals to the
complex data types and their applications, capturing the wide diversity of problem domains …

Recent advances in sensor and mobile devices have enabled an unprecedented increase
in the availability and collection of urban trajectory data, thus increasing the demand for …

The proliferation of trajectory data in various application domains has inspired tremendous
research efforts to analyze large-scale trajectory data from a variety of aspects. A …

Urbanization's rapid progress has modernized many people's lives but also engendered big
issues, such as traffic congestion, energy consumption, and pollution. Urban computing …

DBSCAN is a popular method for clustering multi-dimensional objects. Just as notable as
the method's vast success is the research community's quest for its efficient computation …

Trajectory analytics can benefit many real-world applications, eg, frequent trajectory based
navigation systems, road planning, car pooling, and transportation optimizations. Existing …

The frequency and intensity of natural disasters has significantly increased over the past
decades and this trend is predicted to continue. Facing these possible and unexpected …

Understanding human mobility is of great importance to various applications, such as urban
planning, traffic scheduling, and location prediction. While there has been fruitful research …