Two ellipse-based pruning methods for group nearest neighbor queries
Li, H. Huang, B. Lu, H. HUANG ZHIYONG
Li, H.
Huang, B.
Citations
Altmetric:
Alternative Title
Abstract
Group nearest neighbor (GNN) queries are a relatively new type of operations in spatial database applications. Different from a traditional κNN 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 κNN 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. Copyright 2005 ACM.
Keywords
GNN, Group nearest neighbor query, Query optimization
Source Title
GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
Publisher
Series/Report No.
Collections
Rights
Date
2005
DOI
Type
Conference Paper