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Evolutionary Synthesis of Automatic Classification on Astroinformatic Big Data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F16%3A86097583" target="_blank" >RIV/61989100:27740/16:86097583 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27240/16:86097583

  • Result on the web

    <a href="http://dx.doi.org/10.1080/17445760.2016.1194984" target="_blank" >http://dx.doi.org/10.1080/17445760.2016.1194984</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/17445760.2016.1194984" target="_blank" >10.1080/17445760.2016.1194984</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evolutionary Synthesis of Automatic Classification on Astroinformatic Big Data

  • Original language description

    This article describes using of new approach to automatic classification of big data records in Be and B[e] stars spectra in large astrophysical archives. With enormous amount of these data it is no longer feasible to analyse it using classical approaches. We introduce evolutionary synthesis of the classification by means of so called analytic programming (AP), one of methods of symbolic regression. By using this method, we synthesise the most suitable mathematical models that approximate chosen samples of the stellar spectra. As a result is then selected the class whose synthesised formula has the lowest difference (i.e. the most similar) compared to the particular spectrum. The results show us that classification of stellar spectra by means of AP is able to identify different shapes of the spectra and classify them.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • 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)

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Parallel, Emergent and Distributed Systems

  • ISSN

    1744-5760

  • e-ISSN

  • Volume of the periodical

    Neuvedeno

  • Issue of the periodical within the volume

    2016-07-21

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    19

  • Pages from-to

    1-19

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-84978726263