Definition
The extraction of implicit, non-trivial, and potentially useful abstract information from large collections of spatio-temporal data are referred to as spatio-temporal data mining. There are two classes of spatio-temporal databases. The first category includes timestamped sequences of measurements generated by sensors distributed in a map, and temporal evolutions of thematic maps (e.g., weather maps). The second class are moving object databases that consist of object trajectories (e.g., movements of cars in a city). A trajectory can be modeled as a sequence of (p i ,t i ) pairs, where p i corresponds to a spatial location and t i is a timestamp. The management and analysis of spatio-temporal data has gained interest recently, mainly due to the rapid advancements in telecommunications (e.g., GPS, Cellular networks, etc.), which facilitate the collection of large datasets of object locations (e.g., cars, mobile phone users) and...
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Mamoulis, N. (2009). Spatio-Temporal Data Mining. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_361
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DOI: https://doi.org/10.1007/978-0-387-39940-9_361
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