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Cites:

1

Information Journal Paper

Title

DATA MINING OF FINANCIAL STATEMENT'S FOR GRANTING FINANCIAL FACILITIE'S

Pages

  179-211

Abstract

 Nowaday's, one of the most important financial decision's in financial institution's is investigation, assessment and measuring customer's validity. Decision making for granting facilitie's to customer's is vital from this perspective that imprecise assessment of customer's could Past due and delayed claim's and attenuated financial granting facilities power of banks and finally resulted the unpaid claim's of the bank' s. This study has been conducted with the aim of modeling customer's validity in bank by using NEURAL NETWORK, DECISION TREE and SUPPORT VECTOR MACHINE method's. For this purpose, financial and qualitative data for a random sample with 300 member's (218 good customer's and 82 bad customer's) have been selected from legal firm's that were received credit facilitie's from Iranian meli bank's of Tehran city member's in 1389 and 1390 year's, will be survey. In this study, after investigating each of customer's credit dossier's, 31 descriptive variable's were assessed and result's addition to verifying financial and economic theorie's, show that DATA MINING method's have high efficiency for VALIDATION of customer's. Also, performance of NEURAL NETWORK model for prediction is much better than other model's.

Cites

References

Cite

APA: Copy

KEYGHOBADI, AMIRREZA, & KHODDAMI, VAHID. (2013). DATA MINING OF FINANCIAL STATEMENT'S FOR GRANTING FINANCIAL FACILITIE'S. THE FINANCIAL ACCOUNTING AND AUDITING RESEARCHES, 5(17), 179-211. SID. https://sid.ir/paper/198088/en

Vancouver: Copy

KEYGHOBADI AMIRREZA, KHODDAMI VAHID. DATA MINING OF FINANCIAL STATEMENT'S FOR GRANTING FINANCIAL FACILITIE'S. THE FINANCIAL ACCOUNTING AND AUDITING RESEARCHES[Internet]. 2013;5(17):179-211. Available from: https://sid.ir/paper/198088/en

IEEE: Copy

AMIRREZA KEYGHOBADI, and VAHID KHODDAMI, “DATA MINING OF FINANCIAL STATEMENT'S FOR GRANTING FINANCIAL FACILITIE'S,” THE FINANCIAL ACCOUNTING AND AUDITING RESEARCHES, vol. 5, no. 17, pp. 179–211, 2013, [Online]. Available: https://sid.ir/paper/198088/en

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