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Mining Frequent Patterns in Object-Relational Databases

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F02%3A00006719" target="_blank" >RIV/00216224:14330/02:00006719 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Mining Frequent Patterns in Object-Relational Databases

  • Original language description

    In present time there are many applications where frequent patterns are mined from structured data. But usually these applications are highly specialized and don't allow to mine in different kind of data. In this paper we present a general method for mining frequent patterns in object-relational databases. It allows to mine patterns in broad range of object-relational structures. Several settings allow to adjust system to a concrete application.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BD - Information theory

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2002

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    International Conference on Knowledge Based Computer Systems (KBCS) 2002

  • ISBN

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    1

  • Publisher name

    National Centre for Software Technology, Mumbai, India

  • Place of publication

    Mumbai, India

  • Event location

    18. - 21. 12. 2002, Navi Mumbai, India

  • Event date

    Jan 1, 2002

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article