In this paper, we propose a new trajectory pattern mining framework, namely Clustering and
Aggregating Clues of Trajectories (CACT), for discovering trajectory routes that represent the …

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 …

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 …

The increasing use of location-aware devices has led to an increasing availability of
trajectory data. As a result, researchers devoted their efforts to developing analysis methods …

The pervasiveness of mobile devices and location based services is leading to an
increasing volume of mobility data. This side eect provides the opportunity for innovative …

Spatio-temporal patterns extracted from historical trajectories of moving objects reveal
important knowledge about movement behavior for high quality LBS services. Existing …

Location is a key context ingredient and many existing pervasive applications rely on the
current locations of their users. However, with the ability to predict the future location and …

The increasing pervasiveness of location-acquisition technologies has enabled collection of
huge amount of trajectories for almost any kind of moving objects. Discovering useful …

With the increasing use of mobile devices, a lot of tracks of movement of objects are being
collected. The advanced trajectory data mining research has allowed the discovery of many …

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 …