Detail publikace

Knowledge Discovery in Mega-Spectra Archives

LOPATOVSKÝ, L. PALIČKA, A. ŠKODA, P. VÁŽNÝ, J. VRÁBELOVÁ, P.

Originální název

Knowledge Discovery in Mega-Spectra Archives

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The recent progress of astronomical instrumentation resulted in the constructionof multi-object spectrographs with hundreds to thousands of micro-slits or opticalfibers allowing the acquisition of tens of thousands of spectra of celestial objectsper observing night. Currently there are several spectroscopic surveys containingmillions of spectra and much larger are in preparation. Most of the large-scalesurveys are processed spectrum by spectrum in order to estimate physical param-eters of individual objects. The parameters obtained are then used to constructthe better models of space-kinematic structure and evolution of the Universe orits subsystems. Such surveys are, however, very good source of homogenized, pre-processed data for application of machine learning techniques and advanced statis-tical processing common in Astroinformatics. We present challenges of knowledgediscovery process applied to large spectroscopic surveys as well as memory spaceand processing speed demands of current machine learning methods, requiring BigData techniques.

Klíčová slova

multi-object spectrographs, machine learning techniques, astroinformatics

Autoři

LOPATOVSKÝ, L.; PALIČKA, A.; ŠKODA, P.; VÁŽNÝ, J.; VRÁBELOVÁ, P.

Vydáno

17. 12. 2014

Nakladatel

Astronomical Society of the Pacific

Místo

Calgary

ISBN

978-1-58381-874-9

Kniha

ASTRONOMICAL DATA ANALYSIS SOFTWARE AND SYSTEMS: XXIV

Edice

Astronomical Society of the Pacific Conference Series

Strany od

87

Strany do

90

Strany počet

4

URL

BibTex

@inproceedings{BUT163431,
  author="LOPATOVSKÝ, L. and PALIČKA, A. and ŠKODA, P. and VÁŽNÝ, J. and VRÁBELOVÁ, P.",
  title="Knowledge Discovery in Mega-Spectra Archives",
  booktitle="ASTRONOMICAL DATA ANALYSIS SOFTWARE AND SYSTEMS: XXIV",
  year="2014",
  series="Astronomical Society of the Pacific Conference Series",
  pages="87--90",
  publisher="Astronomical Society of the Pacific",
  address="Calgary",
  isbn="978-1-58381-874-9",
  url="http://www.gothard.hu/gao-mkk/memorabilia/bigdataconf-2014/proceedings/pdf/BigDataConf-proceedings.021-026.pdf"
}