An AdaptiveSMOTE-RF algorithm for unbalanced data classification
Author:
Affiliation:
1. Nanjing Tech University,College of Electrical Engineering and Control Science,Nanjing,China
2. Bank of Nanjing,Credit Approval Department,Nanjing,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10498130/10498125/10498241.pdf?arnumber=10498241
Reference13 articles.
1. A Pipeline Blockage Identification Model Learning from Unbalanced Datasets Based on Random Forest
2. Review on Deep Learning Methods Used for Computer-aided Lung Cancer Detection and Diagnosis
3. Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data
4. A Novel Oversampling Technique to Solve Class Imbalance Problem: A Case Study of Students’ Grades Evaluation
5. Unbalanced data classification based on oversampling and integrated learning
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