Clustering is an efficient way to group data into different classes on basis of the internal and
previously unknown schemes inherent of the data. With the development of the location …

As mobile computing has been developed for decades, a new model for mobile computing,
namely, mobile cloud computing, emerges resulting from the marriage of powerful yet …

Moving Objects Databases is the first uniform treatment of moving objects databases, the
technology that supports GPS and RFID. It focuses on the modeling and design of data from …

The mean occupancy rates of personal vehicle trips in the United States is only 1.6 persons
per vehicle mile. Urban traffic gridlock is a familiar scene. Ridesharing has the potential to …

Space support in databases poses new challenges in every part of a database management
system & the capability of spatial support in the physical layer is considered very important …

This paper intoduces the Scalable INcremental hash-based Algorithm (SINA, for short); a
new algorithm for evaluting a set of concurrent continuous spatio-temporal queries. SINA is …

A number of emerging applications of data management technology involve the monitoring
and querying of large quantities of continuous variables, eg, the positions of mobile service …

Although there are many advanced and specialized texts and handbooks on algorithms,
until now there was no book that focused exclusively on the wide variety of data structures …

Existing prediction methods in moving objects databases cannot forecast locations
accurately if the query time is far away from the current time. Even for near future prediction …

Many location-based applications require constant monitoring of k-nearest neighbor (k-NN)
queries over moving objects within a geographic area. Existing approaches to this problem …