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

Many high level representations of time series have been proposed for data mining,
including Fourier transforms, wavelets, eigenwaves, piecewise polynomial models, etc …

As mobile devices with positioning capabilities continue to proliferate, data management for
so-called trajectory databases that capture the historical movements of populations of …

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

The advance of object tracking technologies leads to huge volumes of spatio-temporal data
collected in the form of trajectory data stream. In this study, we investigate the problem of …

With the recent advancements and wide usage of location detection devices, large
quantities of data are collected by GPS and cellular technologies in the form of trajectories …

Many applications, eg, Uber, collect large-scale trajectory data from moving vehicles on road
network. Trajectory data analytics can benefit many real-world applications, such as route …

Time synchronization is a fundamental service for wireless sensor networks (WSNs).
Although a number of message passing protocols can achieve satisfactory synchronization …

The advance of mobile technologies leads to huge volumes of spatio-temporal data
collected in the form of trajectory data streams. In this study, we investigate the problem of …

In step with the rapidly growing volumes of available moving-object trajectory data, there is
also an increasing need for techniques that enable the analysis of trajectories. Such …