Progress on statistical learning systems as data mining tools for the creation of automatic databases in Fusion environments (Articolo in rivista)

Type
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  • Progress on statistical learning systems as data mining tools for the creation of automatic databases in Fusion environments (Articolo in rivista) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.fusengdes.2009.10.011 (literal)
Alternative label
  • Vega J.; Murari A.; Rattá G. A.; González S.; Dormido-Canto S.; JET–EFDA Contributors (2010)
    Progress on statistical learning systems as data mining tools for the creation of automatic databases in Fusion environments
    in Fusion engineering and design; ELSEVIER SCIENCE SA, PO BOX 564, 1001 LAUSANNE (Svizzera)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Vega J.; Murari A.; Rattá G. A.; González S.; Dormido-Canto S.; JET–EFDA Contributors (literal)
Pagina inizio
  • 399 (literal)
Pagina fine
  • 402 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • La rivista è pubblicata anche online con ISSN 1873-7196. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.sciencedirect.com/science/article/pii/S092037960900283X (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 85 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Issues 3-4 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 4 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 3-4 (literal)
Note
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1,2,3,4,5: JET_EFDA, Culham Science Center, OX14 3DB, Abingdon, UK 1,3,4: Asociación EURATOM/CIEMAT para Fusión. Avda. Complutense, 22, 28040 Madrid, Spain 2: Associazione EURATOM-ENEA per la Fusione, Consorzio RFX, 4-35127 Padova, Italy 5: Dpto. Informática y Automática, UNED, Madrid, Spain (literal)
Titolo
  • Progress on statistical learning systems as data mining tools for the creation of automatic databases in Fusion environments (literal)
Abstract
  • Nowadays, processing all information of a fusion database is a much more important issue than acquiring more data. Although typically fusion devices produce tens of thousands of discharges, specialized databases for physics studies are normally limited to a few tens of shots. This is due to the fact that these databases are almost always generated manually, which is a very time consuming and unreliable activity. The development of automatic methods to create specialized databases ensures first, the reduction of human efforts to identify and locate physical events, second, the standardization of criteria (reducing the vulnerability to human errors) and, third, the improvement of statistical relevance. Classification and regression techniques have been used for these purposes. The objective has been the automatic recognition of physical events (that can appear in a random and/or infrequent way) in waveforms and video-movies. Results are shown for the JET database. (literal)
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