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ABSTRACT
Two modifications of B-trees are described, simple prefix B-trees and prefix B-trees. Both store only parts of keys, namely prefixes, in the index part of a B*-tree. In simple prefix B-trees those prefixes are selected carefully to minimize their length. In prefix B-trees the prefixes need not be fully stored, but are reconstructed as the tree is searched. Prefix B-trees are designed to combine some of the advantages of B-trees, digital search trees, and key compression techniques while reducing the processing overhead of compression techniques.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 63
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Shankar Pal , Istvan Cseri , Oliver Seeliger , Gideon Schaller , Leo Giakoumakis , Vasili Zolotov, Indexing XML data stored in a relational database, Proceedings of the Thirtieth international conference on Very large data bases, p.1146-1157, August 31-September 03, 2004, Toronto, Canada
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Frank Ramsak , Volker Markl , Robert Fenk , Martin Zirkel , Klaus Elhardt , Rudolf Bayer, Integrating the UB-Tree into a Database System Kernel, Proceedings of the 26th International Conference on Very Large Data Bases, p.263-272, September 10-14, 2000
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Mohamed Y. Eltabakh , Wing-Kai Hon , Rahul Shah , Walid G. Aref , Jeffrey S. Vitter, The SBC-tree: an index for run-length compressed sequences, Proceedings of the 11th international conference on Extending database technology: Advances in database technology, March 25-29, 2008, Nantes, France
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Bijit Hore , Hakan Hacigumus , Bala Iyer , Sharad Mehrotra, Indexing text data under space constraints, Proceedings of the thirteenth ACM international conference on Information and knowledge management, November 08-13, 2004, Washington, D.C., USA
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