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Similarity Join in Metric Spaces Using eD-index

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F03%3A00008910" target="_blank" >RIV/00216224:14330/03:00008910 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Similarity Join in Metric Spaces Using eD-index

  • Original language description

    Similarity join in distance spaces constrained by the metric postulates is the necessary complement of more famous similarity range and the nearest neighbor search primitives. However, the quadratic computational complexity of similarity joins prevents from applications on large data collections. We present the eD-Index, an extension of D-index, and we study an application of the eD-Index to implement two algorithms for similarity self joins, i.e. the range query join and the overloading join. Though also these approaches are not able to eliminate the intrinsic quadratic complexity of similarity joins, significant performance improvements are confirmed by experiments.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2003

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Database and Expert Systems Applications, DEXA 2003

  • ISBN

    0302-9743

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    484-493

  • Publisher name

    Springer

  • Place of publication

    Berlin

  • Event location

    Prague

  • Event date

    Sep 1, 2003

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article