Building Customers' Credit Scoring Models with Combination of Feature Selection and Decision Tree Algorithms

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Provided by: Advances in Computer Science : an International Journal (ACSIJ)
Topic: Data Management
Format: PDF
Customers credit scoring is an important issue in the banks and financial institutions. That is a widely used technique that helps banks to decide whether to grant credit to consumers who submit an applicant. Through the growth of the credit industry and the large loan portfolios under management today, credit industry is actively developing more accurate credit scoring models. Constructing the credit scoring model from a credit database can be taken as a task of data mining.
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