Top-n query processing in spatial databases considering bi-chromatic reverse k-nearest neighbors

作者:

Highlights:

• We propose a new top-n query, which ranks and retrieves the top-n points according to the cardinalities of the corresponding BRkNN answer sets.

• To avoid computing the exact BRkNN answer set for each candidate point, we propose a mechanism to quickly compute the upper bounds of the cardinalities.

• We propose an algorithm based on the concepts of Voronoi Diagram, bisectors, and triangle inequality for efficiently computing the BRkNN answer set for candidates.

• We also solve an extended problem about coverage maximization, i.e., finding a set of n data points to maximize the union of their respective BRkNN answer sets.

摘要

•We propose a new top-n query, which ranks and retrieves the top-n points according to the cardinalities of the corresponding BRkNN answer sets.•To avoid computing the exact BRkNN answer set for each candidate point, we propose a mechanism to quickly compute the upper bounds of the cardinalities.•We propose an algorithm based on the concepts of Voronoi Diagram, bisectors, and triangle inequality for efficiently computing the BRkNN answer set for candidates.•We also solve an extended problem about coverage maximization, i.e., finding a set of n data points to maximize the union of their respective BRkNN answer sets.

论文关键词:Spatial databases,RkNN queries,BRkNN queries,Top-n queries

论文评审过程:Received 17 April 2013, Revised 20 October 2013, Accepted 4 January 2014, Available online 14 January 2014.

论文官网地址:https://doi.org/10.1016/j.is.2014.01.001