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In computer science, a B-tree is a self-balancing tree data structure that maintains sorted data and allows searches, sequential access, insertions, and deletions in logarithmic time. The B-tree generalizes the binary search tree, allowing nodes to have more than two children.
History & Science
Explore the main themes, entities and connections around B-tree. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
node tree nodes disk number keys block index one leaf search file element parent internal may root two elements b-trees
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| B-tree | Invented | 1970 | 1.00 | infobox |
| B-tree | Invented by | Rudolf Bayer, Edward M. McCreight | 1.00 | infobox |
| B-tree | Space complexity | Space complexitySpace O ( n ) {\displaystyle O(n)} Time complexityFunction Amortized Worst caseSearch O ( log n ) {\displaystyle O(\log n)} O ( log n ) {\displaystyle O(\log… | 1.00 | infobox |
| B-tree | Type | Tree (data structure) | 1.00 | infobox |
| B-tree | is a | self-balancing tree data structure that maintains sorted data and allows searches | 0.90 | text |
| the B | instance of | The general class includes variations | 0.80 | text |
| the Seagate ST3500320NS | instance of | For a drive | 0.80 | text |
| the track-to-track seek time is 0.8 milliseconds | instance of | For a drive | 0.80 | text |
| the average reading seek time is 8.5 milliseconds | instance of | For a drive | 0.80 | text |
| B-tree | related to (a,b)-tree | B-trees | 0.60 | section |
| B-tree | related to (a,b)-tree | K/2 | 0.60 | section |
| B-tree | related to (a,b)-tree | In | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.