• DocumentCode
    2863587
  • Title

    A Genetic Algorithm Model for Personal Credit Scoring

  • Author

    Cai, Wenxue ; Lin, Xiaodan ; Huang, Xiaoyu ; Zhong, Huiling

  • Author_Institution
    Sch. of Econ. & Commerce, South China Univ. of Technol., Guangzhou, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Nowadays, personal credit scoring models have played a vitally important part for many organizations in keeping away from credit risks. This paper establishes a personal credit scoring model via one of data mining approaches-genetic algorithm, which is a useful method applied to solve credit scoring problems. And the experiment of this model is proved to its high efficiency and evaluated its significant value on credit scoring.
  • Keywords
    data mining; financial data processing; genetic algorithms; risk management; credit risks; data mining; genetic algorithm model; personal credit scoring models; Business; Data mining; Finance; Genetic algorithms; Logistics; Neural networks; Performance analysis; Regression tree analysis; Statistical analysis; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5366208
  • Filename
    5366208
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2863587