Enhancing Accuracy Of Credit Scoring Classification With Imbalance Data Using Synthetic Minority Oversampling Technique-Support Vector Machine (SMOTE-SVM) Model

Credit is one of the business models that provide a significant growth. With the growth of new credit applicants and financial markets, the possibility of credit problem occurrence also become higher. Thus, it becomes important for a financial institution to conduct a preliminary selection to the cr...

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Détails bibliographiques
Auteur principal: Bingamawa, Muhammad Tosan
Format: Thèse
Langue:anglais
anglais
Publié: 2017
Sujets:
Accès en ligne:http://eprints.utem.edu.my/id/eprint/20759/
http://libraryopac.utem.edu.my/webopac20/Record/0000106535
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