APA引文

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

Chicago Style (17th ed.) Citation

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

MLA引文

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