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On Genetic Algorithms for Boolean Matrix Factorization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F08%3A00021083" target="_blank" >RIV/61989100:27240/08:00021083 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    On Genetic Algorithms for Boolean Matrix Factorization

  • Original language description

    Matrix factorization or factor analysis is an important task in the analysis of high dimensional real world data. There are several well known methods and algorithms for factorization of real data but they are rather inefficient when dealing with binaryinformation. In this paper we introduce background and initial version of Genetic Algorithm for binary matrix factorization.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA201%2F06%2F0756" target="_blank" >GA201/06/0756: Development of a native storage for XML data</a><br>

  • Continuities

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

Others

  • Publication year

    2008

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS

  • ISBN

    978-0-7695-3382-7

  • ISSN

  • e-ISSN

  • Number of pages

    697

  • Pages from-to

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Los Alamitos, California

  • Event location

    Kaohsiung, TAIWAN

  • Event date

    Nov 26, 2008

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000264422700030