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Evolutionary algorithms for fast parallel classification

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099075" target="_blank" >RIV/61989100:27240/16:86099075 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/16:86099075

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-26227-7_62" target="_blank" >http://dx.doi.org/10.1007/978-3-319-26227-7_62</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-26227-7_62" target="_blank" >10.1007/978-3-319-26227-7_62</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evolutionary algorithms for fast parallel classification

  • Original language description

    The classification tries to assign the best category to given unknown records based on previous observations. It is clear that with the growing amount of data, any classification algorithm can be very slow. The learning speed of many developed state-of-the-art algorithms like deep neural networks or support vector machines is very low. Evolutionary-based approaches in classification have the same problem.This paper describes five different evolutionary-based approaches that solve the classification problem and run in real time. This was achieved by using GPU parallelization. These classifiers are evaluated on two collections that contains millions of records. The proposed parallel approach is much faster and preserve the same precision as a serial version. (C) Springer International Publishing Switzerland 2016.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

  • Continuities

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

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Advances in Intelligent Systems and Computing. Volume 403

  • ISBN

    978-3-319-26225-3

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    659-670

  • Publisher name

    Springer Verlag

  • Place of publication

    London

  • Event location

    Wrocław

  • Event date

    May 25, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article