Continuous K-Nearest Neighbor (CKNN) query is an important type of spatio-temporal queries. A CKNN query is to find among all moving objects the K-nearest neighbors (KNNs) of a moving query object at each timestamp.
Continuous K-Nearest Neighbor Query over Moving Objects in Road ...
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A CKNN query is to find among all moving objects the K-nearest neighbors (KNNs) of a moving query object at each timestamp. In this paper, we focus on ...
This paper presents a novel algorithm of direction-aware continuous moving K-nearest neighbor (DACKNN) queries in road networks.
In this paper, we study CKNN queries over moving objects with uncertain velocity in road networks. A Distance Interval Model (DIM) is designed to calculate the ...
A CKNN query is to retrieve the K-nearest neighbors (KNNs) of a moving user at each time instant within a user-given time interval [t s , t e ]. In this paper, ...
In this paper, we focus on processing such a C<em>K</em> NN query in road networks, where the criterion for determining the <em>K</em> NNs is the shortest ...
In this paper, an effective method is proposed to deal with continuous K-Nearest Neighbor query processing. By considering whether a moving object o is moving ...
Oct 22, 2024 · Continuous K-nearest neighbor (CKNN) queries on moving objects retrieve the K-nearest neighbors of all points along a query trajectory.
A CKNN query is to find among all moving objects the K-Nearest Neighbors (KNNs) of a moving query point within a given time interval. As the data objects move ...
Nov 14, 2018 · The existing continuous nearest neighbor query algorithms of moving objects in road networks do not consider any traffic rule and assume ...