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Efficient progressive continuous k-nearest neighbor query algorithm for moving objects with a tree-like index

机译:具有树状索引的运动物体的高效渐进连续k近邻查询算法

摘要

Methods and systems for computing continuous k nearest neighbor (CkNN) queries in location based services for moving objects, to produce ordered kNN query results in a continuous and progressive manner, are provided. One method comprises receiving a continuous k nearest neighbor query, computing the initial set comprised of the k interest points nearest to the reference point and a set of remaining nodes stored in a distance-priority queue, generating and storing split points in a min-heap, iteratively moving current reference point to the nearest split point, swapping interest points, updating the corresponding split points in the min-heap, and reporting the kNN result progressively until a termination condition is reached.
机译:提供了用于在针对移动对象的基于位置的服务中计算连续的k最近邻居(CkNN)查询,以连续和渐进的方式产生有序的kNN查询结果的方法和系统。一种方法包括:接收连续的k个最近邻居查询;计算由最接近参考点的k个兴趣点和存储在距离优先级队列中的其余节点组成的初始集合;在最小堆中生成并存储分割点,将当前参考点迭代移动到最近的拆分点,交换兴趣点,更新最小堆中的相应拆分点,并逐步报告kNN结果,直到达到终止条件为止。

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