Analysis of nearest neighbor query performance in multidimensional index structures

2Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

A frequently encountered type of query in geographic information systems and multimedia database systems is to find k nearest neighbors to a given point in a multidimensional space. Examples would be to find the nearest bus stop to a given location or to find some most similar images when an image is given. In this paper, we develop an analytic formula that estimates the performance for nearest neighbor queries and characterize the efficiency of multidimensional index structures for nearest neighbor queries. The developed formula can be used directly in the query optimizers and the characteristics of efficiency will become the basis for the design of the index structure. Experimental results show that our analytic formula is accurate within some acceptable error range. It is exhibited that the efficiency of the index structure depends on the storage utilization and the directory coverage of it.

Cite

CITATION STYLE

APA

Cha, G. H., Park, H. H., & Chung, C. W. (1997). Analysis of nearest neighbor query performance in multidimensional index structures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1308, pp. 498–507). Springer Verlag. https://doi.org/10.1007/bfb0022058

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free