• DocumentCode
    1877544
  • Title

    Association Rules Applied to Credit Evaluation

  • Author

    Shi, Lijuan ; Jing, Xiu ; Xie, Xingang ; Yan, Jiang

  • Author_Institution
    Coll. of Basic Sci., Huazhong Agric. Univ., Wuhan, China
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Farmers are the main financing of rural financial markets, in rural financial institution, lending is based on the credit status of the farmers, so the evaluation of their credit level is always the focus of the theory field and the practical field. A reasonable credit evaluation index system is the prerequisite for scientific credit evaluation. In this study, association rules technology which is the core methods of data mining was applied to mine credit database, and the weight of each index and the score of each attribute value could be accurately calculated by the results of correlation analysis. Through this way, the establishment of credit evaluation index system was more scientific, objective and reasonable.
  • Keywords
    data mining; finance; association rules technology; correlation analysis; credit database mining; credit evaluation index system; credit level; data mining; farmer credit status; financing; lending; rural financial institution; rural financial market; scientific credit evaluation; Association rules; Biological system modeling; Education; Indexes; Itemsets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5391-7
  • Electronic_ISBN
    978-1-4244-5392-4
  • Type

    conf

  • DOI
    10.1109/CISE.2010.5677059
  • Filename
    5677059