AN APPLICATION OF SELECTED DATA MINING TECHNIQUES TO THE SPECIFIC SPORT DATA

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

AN APPLICATION OF SELECTED DATA MINING TECHNIQUES TO THE SPECIFIC SPORT DATA

Popis výsledku v původním jazyce

This paper describes results of selected methods from data mining area applied on data collected in specific sports domain. From year 2001 there is a strong cooperation among Department of Physical Training and Sport Activities at Silesian University, Czech ice skating association and figure skating clubs from Moravian-Silesian region, which resulted in interesting data collection which evaluates kinetic performances of young figure skaters by means of measuring explosive strength of legs. The dataset contains measurements about 280 young figure skaters aged 6 - 19 years. To find eventual latent relations among variables describing different features of figure skaters and to confirm or to overcome assumed causal relations we have used selected analytical methods from data mining methodology, which can also be used in the same manner in different domains like business intelligence or material science.

Název v anglickém jazyce

AN APPLICATION OF SELECTED DATA MINING TECHNIQUES TO THE SPECIFIC SPORT DATA

Popis výsledku anglicky

This paper describes results of selected methods from data mining area applied on data collected in specific sports domain. From year 2001 there is a strong cooperation among Department of Physical Training and Sport Activities at Silesian University, Czech ice skating association and figure skating clubs from Moravian-Silesian region, which resulted in interesting data collection which evaluates kinetic performances of young figure skaters by means of measuring explosive strength of legs. The dataset contains measurements about 280 young figure skaters aged 6 - 19 years. To find eventual latent relations among variables describing different features of figure skaters and to confirm or to overcome assumed causal relations we have used selected analytical methods from data mining methodology, which can also be used in the same manner in different domains like business intelligence or material science.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

In Proceedings: ICT for Competitiveness 2012

ISBN

978-80-7248-731-8

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

118-123

Název nakladatele

Slezská univerzita v Opavě, Obchodně podnikatelská fakulta v Karviné

Místo vydání

Karviná

Místo konání akce

Karviná

Datum konání akce

1. 1. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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