MOBILITY MINING IN MOVING OBJECT TRAJECTORIES

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MOBILITY MINING IN MOVING OBJECT TRAJECTORIES is written by Dr. Sajimon Abraham, Dr. P Sojan Lal and Dr. Dais George and published by Lulu.com. It's available with International Standard Book Number or ISBN identification 1387868632 (ISBN 10) and 9781387868636 (ISBN 13).

Spatial and temporal properties are key aspects of many data analysis problems in business, government, and science. GPS technology is quickly enabling a number of new applications, including tracking fleets of vehicles, navigating boats and ships, pedestrian's tracking and tracking of wildlife. Another popular application of this technology is in cellular phones with embedded GPS sensors for vehicle and pedestrian's tracking. Through the availability of cheap sensor devices, we have witnessed an exponential growth of geo-tagged data in the last few years resulting in the availability of fine-grained spatial data at small temporal sampling intervals. Therefore, the actual challenge in spatio-temporal analysis is moving from acquiring the right data towards large-scale analysis of the available data. As this multidimensional data add more complexities in storing, indexing and querying, efficient methodologies have to be derived to manage these data using existing data base technology.