SINA: scalable incremental processing of continuous queries in spatio-temporal databases

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The new Casper: query processing for location services without compromising privacy (2006, methodology): “Supporting continuous queries and large numbers of outstanding queries can be achieved by seamless integration of the Casper framework into any scalable and/or incremental location-based query processor (e.g., see [22, 25, 36, 34, 47, 48, 49]).”
Querying imprecise data in moving object environments (2003, background): “This query is well studied in spatialtemporal database literature (e.g.,[14, 15 ]).”
Conceptual partitioning: an efficient method for continuous nearest neighbor monitoring (2005, background): “Mokbel et al. [MXA04] present SINA, a system that centrally processes continuous range queries over mobile data.”
Preserving User Location Privacy in Mobile Data Management Infrastructures (2006, unknown): “This kind of query is commonly used in location-based applications [10].”
LARS: A Location-Aware Recommender System (2012, background): “Once U crosses a cell boundary, LARS reevaluates the recommendation query for the new cell and only sends incremental updates [13] to th e last reported answer.”
SEA-CNN: scalable processing of continuous k-nearest neighbor queries in spatio-temporal databases (2005, methodology): “However, these algorithms are limited either to stationary range queries [4, 22], distributed systems [8], continuous range queries [19, 32], or to requiring the knowledge of trajectory information [12].”