Computing trajectory similarity is a fundamental operation in movement analytics, required
in search, clustering, and classification of trajectories, for example. Yet the range of different …

The popularity of location-based social networks provide us with a new platform to
understand users' preferences based on their location histories. In this paper, we present a …

Recent advances in localization techniques have fundamentally enhanced social
networking services, allowing users to share their locations and location-related contents …

In this paper, we address the issue of predicting the next location of an individual based on
the observations of his mobility behavior over some period of time and the recent locations …

This article comprehensively surveys the development of trajectory data classification.
Considering the critical role of trajectory data classification in modern intelligent systems for …

Research on predicting movements of mobile users has attracted a lot of attentions in recent
years. Many of those prediction techniques are developed based only on geographic …

In this chapter, we introduce and define the meaning of location-based social network
(LBSN) and discuss the research philosophy behind LBSNs from the perspective of users …

Semantic trajectory analytics and personalised recommender systems that enhance user
experience are modern research topics that are increasingly getting attention. Semantic …

In recent years, research on location predictions by mining trajectories of users has attracted
a lot of attention. Existing studies on this topic mostly treat such predictions as just a type of …

Trajectory data have been used in a variety of studies, including human behavior analysis,
transportation management, and wildlife tracking. While each study area introduces a …