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Efficient Processing of Narrow Range Queries in Multi-dimensional Data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F06%3A00015437" target="_blank" >RIV/00216224:14330/06:00015437 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Efficient Processing of Narrow Range Queries in Multi-dimensional Data

  • Original language description

    Multi-dimensional data structures are applied in many real index applications, i.e. data mining, indexing multimedia data, indexing of text documents and so on. Many index structures and algorithms have been proposed. There are two major approaches to multi-dimensional indexing: data structures to indexing metric and vector spaces. R-trees, R*-trees and (B)UB-trees are representatives of the vector data structures.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/1ET100300419" target="_blank" >1ET100300419: Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2006

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    IDEAS06 Tenth International Database Engineering and Applications Symposium

  • ISBN

    0-7695-2577-6

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

  • Publisher name

    IEEE

  • Place of publication

    USA

  • Event location

    Delhi, India

  • Event date

    Dec 11, 2006

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article