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EN
ČeštinaEnglish

Factor analysis of sports data via decomposition of matrices with grades

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F12%3A33141633" target="_blank" >RIV/61989592:15310/12:33141633 - isvavai.cz</a>

  • Result on the web

    —

  • DOI - Digital Object Identifier

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Alternative languages

  • Result language

    angličtina

  • Original language name

    Factor analysis of sports data via decomposition of matrices with grades

  • Original language 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 describedthe 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 thepaper 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.

  • Czech name

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  • Czech description

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Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

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Result continuities

  • Project

    <a href="/en/project/GAP202%2F10%2F0262" target="_blank" >GAP202/10/0262: Decompositions of matrices with binary and ordinal data: theory, algorithms, and complexity</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2012

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 9th International Conference on Concept Lattices and Their Applications

  • ISBN

    978-84-695-5252-0

  • ISSN

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  • e-ISSN

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  • Number of pages

    12

  • Pages from-to

    305-316

  • Publisher name

    Universidad te Málaga, Špalělsko

  • Place of publication

    Málaga, Špalělsko

  • Event location

    Fuengirola (Málaga), Španělsko

  • Event date

    Oct 11, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    —

Similar results(10)

Impact of Boolean factorization as preprocessing methods for classification of Boolean dataImpact of Boolean factorization as preprocessing methods for classification of Boolean dataReducing the size of if-then rules generated from data tables with graded attributes.