Journal of Jilin University Science Edition
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WANG Shengsheng, LI Yang, CHAI Sheng, YUE Qing
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When a query point had multiple objects, the traditional query methods queried every points, resulting in a very long running time. We considered multiple query points as a whole and proposed the group reverse k nearest neighbor (GRkNN) method with the pruningverification phases. The experiments show that the method can update database more efficiently, and shorten the running time.
Key words: group RkNN query, Rtree indexes, spatial database, data query
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WANG Shengsheng, LI Yang, CHAI Sheng, YUE Qing. GRkNN: A Method for Group Reverse k Nearest Neighbor Query[J].Journal of Jilin University Science Edition, 2016, 54(01): 85-90.
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http://xuebao.jlu.edu.cn/lxb/EN/Y2016/V54/I01/85
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