SEA-CNN: scalable processing of continuous k-nearest neighbor queries in spatio-temporal databases

By Xiaopeng Xiong, Mohamed F. Mokbel, Walid G. Aref. IEEE International Conference on Data Engineering, 2005

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Conceptual partitioning: an efficient method for continuous nearest neighbor monitoring (2005, methodology): “SEA-CNN [XMA05] focuses exclusively on monitoring the NN changes, without including a module for the first-time evaluation of an arriving query q (i.e., it assumes that the initial result is available).”
On Trip Planning Queries in Spatial Databases (2005, background): “Most research has concentrated on traditional spatial queries and their variants, namely range queries [18], nearest neighbors [15, 19, 29], continuous nearest neighbors [5, 37, 41], group nearest neighbors [26], reverse nearest neighbors [22], etc.”
Aggregate nearest neighbor queries in spatial databases (2005, methodology): “2002; Tao and Papadias 2003], and (iii) data stream environments, which necessitate techniques for the efficient handling of continuous queries and intensive updates [Liu and Ferhatosmanoglu 2003; Yu et al. 2005; Xiong et al. 2005].”