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2005
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Two ellipse-based pruning methods for group nearest neighbor queries

9 years 4 months ago
Two ellipse-based pruning methods for group nearest neighbor queries
Group nearest neighbor (GNN) queries are a relatively new type of operations in spatial database applications. Different from a traditional kNN query which specifies a single query point only, a GNN query has multiple query points. Because of the number of query points and their arbitrary distribution in the data space, a GNN query is much more complex than a kNN query. In this paper, we propose two pruning strategies for GNN queries which take into account the distribution of query points. Our methods employ an ellipse to approximate the extent of multiple query points, and then derive a distance or minimum bounding rectangle (MBR) using that ellipse to prune intermediate nodes in a depth-first search via an R -tree. These methods are also applicable to the best-first traversal paradigm. We conduct extensive performance studies. The results show that the proposed pruning strategies are more efficient than the existing methods. Categories and Subject Descriptors H.2.8 [DATABASE MANAGE...
Hongga Li, Hua Lu, Bo Huang, Zhiyong Huang
Added 11 Nov 2009
Updated 11 Nov 2009
Type Conference
Year 2005
Where GIS
Authors Hongga Li, Hua Lu, Bo Huang, Zhiyong Huang
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