Representative-Based Cluster Undersampling Technique for Imbalanced Credit Scoring Datasets

Sudhansu Ranjan Lenka; Sukant Kishoro Bisoy; Rojalina Priyadarshini; B. Nayak

doi:10.1007/978-981-19-0475-2_11

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Representative-Based Cluster Undersampling Technique for Imbalanced Credit Scoring Datasets

Sudhansu Ranjan Lenka Sukant Kishoro Bisoy Rojalina Priyadarshini B. Nayak

Year: 2022 Advances in intelligent systems and computing Pages: 119-129 Publisher: Springer Nature

DOI: 10.1007/978-981-19-0475-2_11

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Keywords:

Undersampling Oversampling Computer science Class (philosophy) Representativeness heuristic Artificial intelligence Cluster analysis Machine learning Resampling Data mining Benchmark (surveying) Pattern recognition (psychology) Mathematics Statistics

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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

Artificial Intelligence in Healthcare

Health Sciences → Health Professions → Health Information Management

Representative-Based Cluster Undersampling Technique for Imbalanced Credit Scoring Datasets

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