A-RDBOTE: an improved oversampling technique for imbalanced credit-scoring datasets

Sudhansu Ranjan Lenka; Sukant Kishoro Bisoy; Rojalina Priyadarshini

doi:10.1057/s41283-023-00128-y

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A-RDBOTE: an improved oversampling technique for imbalanced credit-scoring datasets

Sudhansu Ranjan Lenka Sukant Kishoro Bisoy Rojalina Priyadarshini

Year: 2023 Journal: Risk Management Vol: 25 (4) Publisher: Palgrave Macmillan

DOI: 10.1057/s41283-023-00128-y

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Keywords:

Oversampling Cluster analysis Computer science Representativeness heuristic Data mining Class (philosophy) Set (abstract data type) Cluster (spacecraft) Artificial intelligence Machine learning k-nearest neighbors algorithm Similarity (geometry) Credit score Data set Bootstrapping (finance) Credit risk Statistics Econometrics Mathematics Finance Business

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Financial Distress and Bankruptcy Prediction

Social Sciences → Business, Management and Accounting → Accounting

Electricity Theft Detection Techniques

Physical Sciences → Engineering → Electrical and Electronic Engineering

A-RDBOTE: an improved oversampling technique for imbalanced credit-scoring datasets

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