Credit scoring using data mining techniques with particular reference to Sudanese banks

Proceedings - 2013 International Conference on Computer, Electrical and Electronics Engineering: 'Research Makes a Difference', ICCEEE 2013

Volumn , Issue , 2013, Pages 378-383

  Kambal, Eiman ^a   Osman, Izzeldin ^a   Taha, Methag ^b   Mohammed, Noon ^b   Mohammed, Sara ^b  

^a SUDAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Sudan)

^b UNIVERSITY OF KHARTOUM   (Sudan)

Author keywords

artificial neural network; credit scoring; Data mining; decision tree; genetic algorithms; principal component analysis

Indexed keywords

COMPUTATIONAL INTELLIGENCE TECHNIQUES; CREDIT EVALUATIONS; CREDIT SCORING; CREDIT SCORING MODEL; HYBRID MODEL; KEY SUCCESS FACTORS; MINING CLASSIFICATION; SELECTION TECHNIQUES;

DATA PROCESSING; DECISION TREES; ELECTRONICS ENGINEERING; GENETIC ALGORITHMS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS;

DATA MINING;

EID: 84889569998     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCEEE.2013.6633966     Document Type: Conference Paper

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