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Title: Selectivity estimation for predictive spatio-temporal queries
Authors: Tao, Yufei
Sun, Jimeng
Papadias, Dimitris
Keywords: Selectivity estimation
Window queries
Spatio-temporal histograms
Issue Date: 2003
Citation: Proceedings / International Conference on Data Engineering, Bangalore, India, 5-8 Mar. 2003, IEEE Computer Society, Los Alamitos, CA, USA, 2003, p. 417-428
Abstract: This paper proposes a cost model for selectivity estimation of predictive spatio-temporal window queries. Initially, we focus on uniform data proposing formulae that capture both points and rectangles, and any type of object/query mobility combination (i.e., dynamic objects, dynamic queries or both). Then, we apply the model to non-uniform datasets by introducing spatio-temporal histograms, which in addition to the spatial, also consider the velocity distributions during partitioning. The advantages of our techniques are (i) high accuracy (1-2 orders of magnitude lower error than previous techniques), (ii) ability to handle all query types, and (iii) efficient handling of updates
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