توثيق جمعية علم النفس الأمريكية APA (الطبعة السابعة)

Bingamawa, M. T. (2017). Enhancing Accuracy Of Credit Scoring Classification With Imbalance Data Using Synthetic Minority Oversampling Technique-Support Vector Machine (SMOTE-SVM) Model.

توثيق أسلوب شيكاغو (الطبعة السابعة عشر)

Bingamawa, Muhammad Tosan. Enhancing Accuracy Of Credit Scoring Classification With Imbalance Data Using Synthetic Minority Oversampling Technique-Support Vector Machine (SMOTE-SVM) Model. 2017.

توثيق جمعية اللغة المعاصرة MLA (الطبعة الثامنة)

Bingamawa, Muhammad Tosan. Enhancing Accuracy Of Credit Scoring Classification With Imbalance Data Using Synthetic Minority Oversampling Technique-Support Vector Machine (SMOTE-SVM) Model. 2017.