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  • In this work an R-tree variant, which uses minimum volume covering ellipsoids instead of usual minimum bounding rectangles, is presented. The most significant aspects, which determine R-tree index structure performance, is an amount of dead space coverage and overlaps among the covering regions. Intuitively, el- lipsoid as a quadratic surface should cover data more tightly, leading to less dead space coverage and less overlaps. Based on studies of many available R-tree variants (especially SR-tree), the eR-tree (ellipsoid R-tree) with ellipsoidal regions is proposed. The fo- cus is put on the algorithm of ellipsoids construction as it significantly aspects indexing speed and querying performance. At the end, the eR-tree undergoes ex- periments with both synthetic and real datasets. It proves its superiority especially on clustered sparse datasets.
  • In this work an R-tree variant, which uses minimum volume covering ellipsoids instead of usual minimum bounding rectangles, is presented. The most significant aspects, which determine R-tree index structure performance, is an amount of dead space coverage and overlaps among the covering regions. Intuitively, el- lipsoid as a quadratic surface should cover data more tightly, leading to less dead space coverage and less overlaps. Based on studies of many available R-tree variants (especially SR-tree), the eR-tree (ellipsoid R-tree) with ellipsoidal regions is proposed. The fo- cus is put on the algorithm of ellipsoids construction as it significantly aspects indexing speed and querying performance. At the end, the eR-tree undergoes ex- periments with both synthetic and real datasets. It proves its superiority especially on clustered sparse datasets. (en)
Title
  • Elliptic Indexing of Multidimensional Databases
  • Elliptic Indexing of Multidimensional Databases (en)
skos:prefLabel
  • Elliptic Indexing of Multidimensional Databases
  • Elliptic Indexing of Multidimensional Databases (en)
skos:notation
  • RIV/00216208:11320/09:00207420!RIV10-GA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/06/0756), Z(MSM0021620838)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 313034
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/09:00207420
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Elliptic; Indexing; Multidimensional; Databases (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [706F8E2E4A9A]
http://linked.open...v/mistoKonaniAkce
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • 20th Australian Database Conference
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Skopal, Tomáš
  • Danko, Ondrej
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Australian Computer Society, CRPIT
https://schema.org/isbn
  • 978-1-920682-73-6
http://localhost/t...ganizacniJednotka
  • 11320
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