CREDIT RISK MANAGEMENT IN BANKING SYSTEM WITH DATA MINING APPROACH

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JAMAAT ALI; ASGARI FARID

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Paper Information

Journal: QUANTITATIVE RESEARCHES IN MANAGEMENT Year:2011 | Volume:1 | Issue:3 Page(s): 115-126

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Information Journal Paper

Title

CREDIT RISK MANAGEMENT IN BANKING SYSTEM WITH DATA MINING APPROACH

Author(s)

JAMAAT ALI | ASGARI FARID | Issue Writer Certificate

Keywords

CREDIT RISKQ2

DATA MININGQ2

DECISION TREEQ2

Abstract

At the same time with increasing trend in day to day trading development in this world, needs to access to financing resources are becoming more necessary and this causes banks to emphasis more on credit granting and makes governments to establish new banks. One of the main problems in the banking system is CREDIT RISK management, because high amount of money are presented to applicants in this organizations as credit and repayment of this sources is necessary for their life and their development. Therefore considering applicants' creditworthiness is an important process for paying credit. In this paper DATA MINING techniques has been used for defining CREDIT RISK.

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APA: Copy

JAMAAT, ALI, & ASGARI, FARID. (2011). CREDIT RISK MANAGEMENT IN BANKING SYSTEM WITH DATA MINING APPROACH. QUANTITATIVE RESEARCHES IN MANAGEMENT, 1(3), 115-126. SID. https://sid.ir/paper/191946/en

Vancouver: Copy

JAMAAT ALI, ASGARI FARID. CREDIT RISK MANAGEMENT IN BANKING SYSTEM WITH DATA MINING APPROACH. QUANTITATIVE RESEARCHES IN MANAGEMENT[Internet]. 2011;1(3):115-126. Available from: https://sid.ir/paper/191946/en

IEEE: Copy

ALI JAMAAT, and FARID ASGARI, “CREDIT RISK MANAGEMENT IN BANKING SYSTEM WITH DATA MINING APPROACH,” QUANTITATIVE RESEARCHES IN MANAGEMENT, vol. 1, no. 3, pp. 115–126, 2011, [Online]. Available: https://sid.ir/paper/191946/en

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