Abstract
With the wide availability of satellite, RFID, GPS, sensor, wireless, and video technologies, moving-object data have been collected in massive scale and are becoming increasingly rich, complex, and ubiquitous. There is an imminent need for scalable and flexible data analysis over moving-object information; and thus mining moving-object data has become one of major challenges in data mining. There have been considerable research efforts on data mining for moving object, trajectory, and traffic data sets.
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© 2010 Springer-Verlag Berlin Heidelberg
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Han, J., Li, Z., Tang, L.A. (2010). Mining Moving Object, Trajectory and Traffic Data. In: Kitagawa, H., Ishikawa, Y., Li, Q., Watanabe, C. (eds) Database Systems for Advanced Applications. DASFAA 2010. Lecture Notes in Computer Science, vol 5982. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12098-5_56
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DOI: https://doi.org/10.1007/978-3-642-12098-5_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12097-8
Online ISBN: 978-3-642-12098-5
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