Abstract
In this paper, we identify a conceptual framework to explore notions of spatiotemporal aggregate operations over moving objects, and use this framework to discover novel aggregate operators. Specifically, we provide constructs to discover temporal and spatial coverage of a query window that may itself be moving, and identify quantitative properties of entropy relating to the motion of objects.
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© 2014 Springer International Publishing Switzerland
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Maughan, L., McKenney, M., Benchley, Z. (2014). A Model of Aggregate Operations for Data Analytics over Spatiotemporal Objects. In: Indulska, M., Purao, S. (eds) Advances in Conceptual Modeling. ER 2014. Lecture Notes in Computer Science, vol 8823. Springer, Cham. https://doi.org/10.1007/978-3-319-12256-4_25
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DOI: https://doi.org/10.1007/978-3-319-12256-4_25
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12255-7
Online ISBN: 978-3-319-12256-4
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