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A comparative study on machine learning models combining with outlier detection and balanced sampling methods for credit scoring.
Hongyi Qian
Shen Zhang
Baohui Wang
Lei Peng
Songfeng Gao
You Song
Published in:
CoRR (2021)
Keyphrases
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outlier detection
sampling methods
fraud detection
knowledge discovery
detection algorithm
credit card
data streams
data mining
machine learning
nearest neighbor
machine learning algorithms
databases
real world
decision trees
pattern recognition