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X-tree

In computer science tree data structures, an X-tree (for eXtended node tree) is an index tree structure based on the R-tree used for storing data in many dimensions. It appeared in 1996, and differs from R-trees (1984), R+-trees (1987) and R*-trees (1990) because it emphasizes prevention of overlap in the bounding boxes, which increasingly becomes a…

Science, Structure & Overview

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Explore the main themes, entities and connections around X-tree. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Structure

Minimum bounding rectangles
1 related topics

Overview

Tree data structuresR-trees
2 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Invented
1996
Operation
Average
Time complexity in big O notation
Time complexity in big O notationOperation Average Worst caseSpace complexity
Type
Tree

Topics to explore

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Overview

Structure

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

X-tree

Nodes6
Edges5
Triples8
Avg. degree1.67
Density0.333333
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

X-tree

Top relations

related to Structure · 4
X-tree → MBRs, Supernodes, The, The X-tree
Invented · 1
X-tree → 1996
Operation · 1
X-tree → Average
Time complexity in big O notation · 1
X-tree → Time complexity in big O notationOperation Average Worst caseSpace complexity
Type · 1
X-tree → Tree

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data tree nodes structure directory structures node dimensions overlap cases supernodes bounding r-tree r-trees computer science extended index based used

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
X-treeInvented19961.00infobox
X-treeOperationAverage1.00infobox
X-treeTime complexity in big O notationTime complexity in big O notationOperation Average Worst caseSpace complexity1.00infobox
X-treeTypeTree1.00infobox
X-treerelated to StructureThe X-tree0.60section
X-treerelated to StructureThe0.60section
X-treerelated to StructureMBRs0.60section
X-treerelated to StructureSupernodes0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
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