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 …

Rapid advance of location acquisition technologies boosts the generation of trajectory data,
which track the traces of moving objects. A trajectory is typically represented by a sequence …

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 …

Even though human movement and mobility patterns have a high degree of freedom and
variation, they also exhibit structural patterns due to geographic and social constraints …

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …

Realistic simulation of a massive amount of human mobility data is of great use in epidemic
spreading modeling and related health policy-making. Existing solutions for mobility …

Predicting the next location a user tends to visit is an important task for applications like
location-based advertising, traffic planning, and tour recommendation. We consider the next …

Generative Adversarial Networks (GANs) have shown remarkable success in producing
realistic-looking images in the computer vision area. Recently, GAN-based techniques are …

Focus on movement data has increased as a consequence of the larger availability of such
data due to current GPS, GSM, RFID, and sensors techniques. In parallel, interest in …

The advances in location-acquisition technologies have led to a myriad of spatial
trajectories. These trajectories are usually generated at a low or an irregular frequency due …