NDLI: A revised r*-tree in comparison with related index structures

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A revised r*-tree in comparison with related index structures

Content Provider	ACM Digital Library
Author	Seeger, Bernhard Beckmann, Norbert
Abstract	In this paper we present an improved redesign of the R-tree that is entirely suitable for running within a DBMS. Most importantly, an insertion is guaranteed to be restricted to a single path because re-insertion could be abandoned. We re-engineered both, subtree choice and split algorithm, to be more robust against specific data distributions and insertion orders, as well as peculiarities often found in real multidimensional data sets. This comes along with a substantial reduction in CPU-time. Our experimental setup covers a wide range of different artificial and real data sets. The experimental comparison shows that the search performance of our revised R-tree is superior to that of its three most important competitors. In comparison to its predecessor, the original R*-tree, the creation of a tree is substantially faster, while the I/O cost required for processing queries is improved by more than 30% on average for two- and three-dimensional data. For higher dimensional data, particularly for real data sets, much larger improvements are achieved.
Starting Page	799
Ending Page	812
Page Count	14
File Format	PDF
ISBN	9781605585512
DOI	10.1145/1559845.1559929
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-06-29
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Multi-dimensional data Performance comparison Rr-tree R-tree Index structures Choosesubtree Revised r-tree Split Hilbert-r-tree
Content Type	Text
Resource Type	Article

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