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
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