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Abstract: In this paper we propose the use of fractals and especially the Hilbert curve, in order to
design good distance-preserving mappings. Such mappings improve the performance of
secondary-key- and spatial- access methods, where multi-dimensional points have to be stored on
an 1-dimensional medium (e.g., disk). Good clustering reduces the number of disk accesses on
retrieval, improving the response time. Our experiments on range queries and nearest neighbor
queries showed that the proposed Hilbert... (Update)
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BibTeX entry: (Update)
Christos Faloutsos and Shari Roseman. Fractals for Secondary Key Retrieval. Technical Report UMIACS-TR-89-47, CS-TR-2242, University of Maryland, Colledge Park, Maryland, May 1989. http://citeseer.ist.psu.edu/89840.html More
@inproceedings{ faloutsos89fractals,
author = "C. Faloutsos and S. Roseman",
title = "Fractals for secondary key retrieval",
pages = "247--252",
year = "1989",
url = "citeseer.ist.psu.edu/89840.html" }
Citations (may not include all citations):
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