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Statements

Subject Item
n2:RIV%2F61989592%3A15310%2F12%3A33141633%21RIV13-GA0-15310___
rdf:type
skos:Concept n6:Vysledek
dcterms:description
The aim of this paper is to present experimental results on a recently developed method of factor analysis of data with graded, or fuzzy, attributes. The method utilizes formal concepts of data with graded attributes. In our previous papers, we described the factor model, the method, an algorithm to compute factors, and provided basic examples. In this paper, we perform a more extensive experimentation with this method. In particular, we apply the method to factor analysis of sports data. The aim of the paper is to demonstrate that the method yields reasonable factors, explain in detail how the factor model and the factors are to be understood, introduce some new conceptual issues relevant to factor analysis, and briefly discuss the relationship of this method to related methods. The aim of this paper is to present experimental results on a recently developed method of factor analysis of data with graded, or fuzzy, attributes. The method utilizes formal concepts of data with graded attributes. In our previous papers, we described the factor model, the method, an algorithm to compute factors, and provided basic examples. In this paper, we perform a more extensive experimentation with this method. In particular, we apply the method to factor analysis of sports data. The aim of the paper is to demonstrate that the method yields reasonable factors, explain in detail how the factor model and the factors are to be understood, introduce some new conceptual issues relevant to factor analysis, and briefly discuss the relationship of this method to related methods.
dcterms:title
Factor analysis of sports data via decomposition of matrices with grades Factor analysis of sports data via decomposition of matrices with grades
skos:prefLabel
Factor analysis of sports data via decomposition of matrices with grades Factor analysis of sports data via decomposition of matrices with grades
skos:notation
RIV/61989592:15310/12:33141633!RIV13-GA0-15310___
n6:predkladatel
n7:orjk%3A15310
n3:aktivita
n14:P
n3:aktivity
P(GAP202/10/0262)
n3:dodaniDat
n8:2013
n3:domaciTvurceVysledku
n9:9623264 n9:3476030
n3:druhVysledku
n13:D
n3:duvernostUdaju
n21:S
n3:entitaPredkladatele
n22:predkladatel
n3:idSjednocenehoVysledku
136029
n3:idVysledku
RIV/61989592:15310/12:33141633
n3:jazykVysledku
n10:eng
n3:klicovaSlova
factor analysis, relational data, graded attributes, ordinal attributes, formal concept analysis
n3:klicoveSlovo
n4:relational%20data n4:ordinal%20attributes n4:graded%20attributes n4:factor%20analysis n4:formal%20concept%20analysis
n3:kontrolniKodProRIV
[F78682DF8C8F]
n3:mistoKonaniAkce
Fuengirola (Málaga), Španělsko
n3:mistoVydani
Málaga, Špalělsko
n3:nazevZdroje
Proceedings of the 9th International Conference on Concept Lattices and Their Applications
n3:obor
n18:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n11:GAP202%2F10%2F0262
n3:rokUplatneniVysledku
n8:2012
n3:tvurceVysledku
Bělohlávek, Radim Krmelová, Markéta
n3:typAkce
n12:WRD
n3:zahajeniAkce
2012-10-11+02:00
s:numberOfPages
12
n19:hasPublisher
Universidad te Málaga, Špalělsko
n5:isbn
978-84-695-5252-0
n17:organizacniJednotka
15310