PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 1, 1981891 citationsOpen Access

The K-D-B-tree

JRJohn T. Robinson

Key Points

Key points are not available for this paper at this time.

Abstract

The problem of retrieving multikey records via range queries from a large, dynamic index is considered. By large it is meant that most of the index must be stored on secondary memory. By dynamic it is meant that insertions and deletions are intermixed with queries, so that the index cannot be built beforehand. A new data structure, the K-D-B-tree, is presented as a solution to this problem. K-D-B-trees combine properties of K-D-trees and B-trees. It is expected that the multidimensional search effieciency of balanced K-D-trees and the I/O efficiency of B-trees should both be approximated in the K-D-B-tree. Preliminary experimental results that tend to support this are reported.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

John T. Robinson (1981) studied this question.

synapsesocial.com/papers/6a0fb9c34fb650da4ffe71ddhttps://doi.org/10.1145/582318.582321
Ask AI
Helpful
Bookmark
Share
View Full Paper