V-Trees - A Storage Method for Long Vector Data.
Maurício R. Mediano, Marco A. Casanova, Marcelo Dreux:
V-Trees - A Storage Method for Long Vector Data.
VLDB 1994: 321-330@inproceedings{DBLP:conf/vldb/MedianoCD94,
author = {Maur\'{\i}cio R. Mediano and
Marco A. Casanova and
Marcelo Dreux},
editor = {Jorge B. Bocca and
Matthias Jarke and
Carlo Zaniolo},
title = {V-Trees - A Storage Method for Long Vector Data},
booktitle = {VLDB'94, Proceedings of 20th International Conference on Very
Large Data Bases, September 12-15, 1994, Santiago de Chile, Chile},
publisher = {Morgan Kaufmann},
year = {1994},
isbn = {1-55860-153-8},
pages = {321-330},
ee = {db/conf/vldb/vldb94-321.html},
crossref = {DBLP:conf/vldb/94},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
This paper introduces a new data structure, called V-trees,
designed to store long sequences of points in 2D space and yet allow
efficient access to their fragments. They also optimize access to a
sequence of points when the query involves changes to a smaller scale.
V-trees operate in much the same way as positional B-trees do in the
context of long fields and they can be viewed as a variant of R-trees.
The design of V-trees was motivated by the problem of storing and
retrieving geographic objects that are fairly long, such as river
margins or political boundaries, and the fact that geographic queries
typically access just fragments of such objects, frequently using a
smaller scale.
Copyright © 1994 by the VLDB Endowment.
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Online Paper
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BibTeX
Printed Edition
Jorge B. Bocca, Matthias Jarke, Carlo Zaniolo (Eds.):
VLDB'94, Proceedings of 20th International Conference on Very Large Data Bases, September 12-15, 1994, Santiago de Chile, Chile.
Morgan Kaufmann 1994, ISBN 1-55860-153-8
Contents BibTeX
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Referenced by
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Computational Indexes for Time Series.
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- Joseph M. Hellerstein, Jeffrey F. Naughton, Avi Pfeffer:
Generalized Search Trees for Database Systems.
VLDB 1995: 562-573
BibTeX
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