2016
DOI: 10.1109/access.2016.2635682
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Probabilistic CkNN Queries of Uncertain Data in Large Road Networks

Abstract: Continuous k-nearest neighbor (CkNN) query processing is an important issue in spatial temporal databases. In real-world scenarios, query clients and data objects may move with uncertain speeds on the road networks, which makes retrieving the exact CkNN query result a challenge. This paper addresses the issue of processing probabilistic CkNN queries of uncertain data (CPkNN) for road networks, where moving objects and query points are restricted by the connectivity of the road network and the object-query dist… Show more

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