• DocumentCode
    1633537
  • Title

    On Genetic Algorithms for Boolean Matrix Factorization

  • Author

    Snasel, Vaclav ; Platos, Jan ; Kromer, Pavel

  • Author_Institution
    Dept. of Comput. Sci., VSB - Tech. Univ. of Ostrava, Ostrava
  • Volume
    2
  • fYear
    2008
  • Firstpage
    170
  • Lastpage
    175
  • Abstract
    Matrix factorization or factor analysis is an important task in the analysis of high dimensional real world data. There are several well known methods and algorithms for factorization of real data but they are rather inefficient when dealing with binary information. In this paper we introduce background and initial version of genetic algorithm for binary matrix factorization.
  • Keywords
    Boolean algebra; data analysis; genetic algorithms; matrix decomposition; Boolean matrix factorization; binary matrix factorization; factor analysis; genetic algorithm; high dimensional real world data analysis; Application software; Computer applications; Cost function; Data mining; Genetic algorithms; Intelligent systems; Iterative algorithms; Least squares approximation; Matrix decomposition; Minimization methods; boolean matrix factorization; genetic algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-0-7695-3382-7
  • Type

    conf

  • DOI
    10.1109/ISDA.2008.317
  • Filename
    4696326
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1633537