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Genetic algorithm for the column subset selection problem

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092654" target="_blank" >RIV/61989100:27240/14:86092654 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/14:86092654

  • Result on the web

    <a href="http://dx.doi.org/10.1109/CISIS.2014.3" target="_blank" >http://dx.doi.org/10.1109/CISIS.2014.3</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CISIS.2014.3" target="_blank" >10.1109/CISIS.2014.3</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Genetic algorithm for the column subset selection problem

  • Original language description

    The column subset selection problem is a well-known hard optimization problem of selecting an optimal subset of k columns from the matrix Amxn, k< n, so that the cost function is minimized. The problem is of practical importance for data mining and processing since it can be used for unsupervised feature selection, dimension reduction, and many other applications. This work proposes a new genetic algorithm for the column subset selection problem and evaluates it in a series of computational experiments.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings - 2014 8th International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2014

  • ISBN

    978-1-4799-4325-8

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    16-22

  • Publisher name

    Institute of Electrical and Electronics Engineers

  • Place of publication

    New York

  • Event location

    Birmingham

  • Event date

    Jul 2, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article