Title :
Multidimensional Binary Search Trees in Database Applications
Author_Institution :
Departments of Computer Science and Mathematics, Carnegie-Mellon University
fDate :
7/1/1979 12:00:00 AM
Abstract :
The multidimensional binary search tree (abbreviated k-d tree) is a data structure for storing multikey records. This structure has been used to solve a number of "geometric" problems in statistics and data analysis. The purposes of this paper are to cast k-d trees in a database framework, to collect the results on k-d trees that have appeared since the structure was introduced, and to show how the basic data structure can be modified to facilitate implementation in large (and very large) databases.
Keywords :
Best match query; binary trees; data structures; k-d trees; multikey searching; partial match query; range query; Binary search trees; Binary trees; Data analysis; Database languages; Database systems; Multidimensional systems; Protection; Spatial databases; Statistical analysis; Tree data structures; Best match query; binary trees; data structures; k-d trees; multikey searching; partial match query; range query;
Journal_Title :
Software Engineering, IEEE Transactions on
DOI :
10.1109/TSE.1979.234200