• DocumentCode
    3290184
  • Title

    Credit scoring model based on Baum-Welch method

  • Author

    Benyacoub, Badreddine ; El Bernoussi, Souad ; Zoglat, Abdelhak

  • Author_Institution
    Lab. of Math., Comput. Sci. & Applic., Univ. Mohammed V-Agdal, Rabat, Morocco
  • fYear
    2013
  • fDate
    27-30 May 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Nowadays, credit scoring has studied both in academic world and the business community. Many modeling techniques have been developed to be useful in domain of credit scoring. This paper establishes a credit scoring model via an iterative procedure approach, Baum-Welch method. It is a novel method applied to solve credit scoring problems, and to explore a good accuracy model. The algorithm is successfully applied to a real credit problem, and the application procedure is illustrated in German data set. The experiment of this model, is proved to its high efficiency and evaluated its significant value on credit scoring.
  • Keywords
    credit transactions; hidden Markov models; iterative methods; Baum-Welch method; German data set; academic world; business community; credit scoring model; hidden Markov model; iterative procedure approach; modeling techniques; real credit problem; Accuracy; Computational modeling; Data models; Estimation; Hidden Markov models; Mathematical model; Silicon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Systems and Applications (AICCSA), 2013 ACS International Conference on
  • Conference_Location
    Ifrane
  • ISSN
    2161-5322
  • Type

    conf

  • DOI
    10.1109/AICCSA.2013.6616489
  • Filename
    6616489