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
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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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
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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
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EID of the result in the Scopus database
2-s2.0-84978726263