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Description
  • In order to speedup retrieval in large collections of data, index structures partition the data into subsets so that query requests can be evaluated without examining the entire collection. As the complexity of modern data types grows, metric spaces have become a popular paradigm for similarity retrieval. We propose a new index structure, called D-Index, that combines a novel clustering technique and the pivot-based distance searching strategy to speed up execution of similarity range and nearest neighbor queries for large files with objects stored in disk memories. We have qualitatively analyzed D-Index and verified its properties on actual implementation. We have also compared D-Index with other index structures and demonstrated its superiority on several real-life data sets. Contrary to tree organizations, the D-Index structure is suitable for dynamic environments with a high rate of delete/insert operations.
  • In order to speedup retrieval in large collections of data, index structures partition the data into subsets so that query requests can be evaluated without examining the entire collection. As the complexity of modern data types grows, metric spaces have become a popular paradigm for similarity retrieval. We propose a new index structure, called D-Index, that combines a novel clustering technique and the pivot-based distance searching strategy to speed up execution of similarity range and nearest neighbor queries for large files with objects stored in disk memories. We have qualitatively analyzed D-Index and verified its properties on actual implementation. We have also compared D-Index with other index structures and demonstrated its superiority on several real-life data sets. Contrary to tree organizations, the D-Index structure is suitable for dynamic environments with a high rate of delete/insert operations. (en)
  • Navrhujeme novou indexovací strukturu D-Index, která kombinuje novou shlukovací techniku a pivotovací filtrování s cílem urychlit provádění podobnostních dotazů. Vlastnosti D-Indexu jsou experimentálně ověřeny a struktura je porovnávána s jinými řešeními pro metrické prostory. (cs)
Title
  • D-Index: Vyhledávací index podle vzdálenosti pro metrické prostory (cs)
  • D-Index: Distance Searching Index for Metric Data Sets
  • D-Index: Distance Searching Index for Metric Data Sets (en)
skos:prefLabel
  • D-Index: Vyhledávací index podle vzdálenosti pro metrické prostory (cs)
  • D-Index: Distance Searching Index for Metric Data Sets
  • D-Index: Distance Searching Index for Metric Data Sets (en)
skos:notation
  • RIV/00216224:14330/03:00008839!RIV08-MSM-14330___
http://linked.open.../vavai/riv/strany
  • 9-33
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 143300004)
http://linked.open...iv/cisloPeriodika
  • 1
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
  • 603983
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/03:00008839
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • metric spaces; similarity search; index structures; performance evaluation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [E7235CF7FECD]
http://linked.open...i/riv/nazevZdroje
  • Multimedia Tools and Applications
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 21
http://linked.open...iv/tvurceVysledku
  • Zezula, Pavel
  • Dohnal, Vlastislav
  • Gennaro, Claudio
  • Savino, Pasquale
http://linked.open...n/vavai/riv/zamer
issn
  • 1380-7501
number of pages
http://localhost/t...ganizacniJednotka
  • 14330
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