cgal/Packages/ExternalMemoryStructures/doc_tex/basic/ExternalMemoryStructures/cgal.bib

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BibTeX

@InProceedings{Hellerstein,
author = "J. M. Hellerstein and J. F. Naughton and A. Pfeffer",
title = "Generalized Search Trees for Database Systems",
editor = "Umeshwar Dayal and Peter M. D. Gray and Shojiro
Nishio",
booktitle = "{VLDB} '95: proceedings of the 21st International
Conference on Very Large Data Bases, Zurich,
Switzerland, Sept. 11--15, 1995",
publisher = "Morgan Kaufmann Publishers",
address = "Los Altos, CA 94022, USA",
year = "1995",
ISBN = "1-55860-379-4",
pages = "562--573",
year = "1995",
bibdate = "Tue Oct 21 15:14:31 MDT 1997",
acknowledgement = ack-nhfb,
annote = "Also known as VLDB 95",
keywords = "VLDB; very large data bases; large data bases",
}
@InProceedings{LSW97,
author = " J. van den Bercken and B. Seeger and P. Widmayer",
title = " {A} {G}eneric {A}pproach to {B}ulk {L}oading
{M}ultidimensional {I}ndex {S}tructures",
booktitle = "Proceedings of the 1997 VLDB, Athen",
year = "1997",
pages= " ",
}
@InProceedings{gutt-84,
key = "Guttman",
author = "A. Guttman",
title = "{R}-Trees: {A} Dynamic Index Structure For Spatial
Searching",
booktitle = "sigmod",
organization = "acm",
editor = "B. Yormack",
address = "Boston, MA",
month = jun,
year = "1984",
pages = "47--57",
}
@Article{Come-79,
title = "The Ubiquitous {B}-Tree",
author = "D. Comer",
journal = "ACM Computing Surveys",
pages = "121--137",
month = jun,
year = "1979",
volume = "11",
number = "2",
}
@Article{Beckmann:1990:RER,
author = "Norbert Beckmann and Hans-Peter Kriegel and Ralf
Schneider and Bernhard Seeger",
title = "{R}-tree. An efficient and robust access method for
points and rectangles",
journal = "SIGMOD Record (ACM Special Interest Group on
Management of Data)",
volume = "19",
number = "2",
pages = "322--331",
month = jun,
year = "1990",
coden = "SRECD8",
ISSN = "0163-5808",
bibdate = "Mon Dec 9 07:58:51 MST 1996",
abstract = "The R-tree, one of the most popular access methods for
rectangles, is based on the heuristic optimization of
the area of the enclosing rectangle in each inner node.
By running numerous experiments in a standardized
testbed under highly varying data, queries and
operations, we were able to design the R-tree which
incorporates a combined optimization of area, margin
and overlap of each enclosing rectangle in the
directory. Using our standardized testbed in an
exhaustive performance comparison, it turned out that
the R-tree clearly outperforms the existing R-tree
variants: Guttman's linear and quadratic R-tree and
Greene's variant of the R-tree. This superiority of the
R-tree holds for different types of queries and
operations, such as map overlay, for both rectangles
and multidimensional points in all experiments. From a
practical point of view the R-tree is very attractive
because of the following two reasons: 1. it efficiently
supports point and spatial data at the same time and 2.
its implementation cost is only slightly higher than
that of other R-trees.",
acknowledgement = ack-nhfb,
affiliation = "Univ Bremen",
affiliationaddress = "Bremen, West Ger",
classification = "723; 921; 922",
conference = "Proceedings of the 1990 ACM SIGMOD International
Conference on Management of Data",
conferenceyear = "1990",
keywords = "Database Systems; Query Languages; Mathematical
Techniques --- Trees; Optimization; Computer
Programming --- Algorithms; R-Trees; Access Methods",
meetingaddress = "Atlantic City, NJ, USA",
meetingdate = "May 23--25 1990",
meetingdate2 = "05/23--25/90",
publisherinfo = "Fort Collins Computer Center",
sponsor = "ACM SIGMOD, New York, NY, USA",
}