Improved LightGBM for Extremely Imbalanced Data and Application to Credit Card Fraud Detection

Improved LightGBM for Extremely Imbalanced Data and Application to Credit Card Fraud Detection

Credit card fraud (CCF) is a significant threat to cardholders and financial institutions. CCF detection against this threat is challenging due to extremely imbalanced data (EID). EID involves extremely few instances of fraud for training and an extremely high risk of overlooking fraud. While class...

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Bibliographic Details
Main Authors: Xiaosong Zhao, Yong Liu, Qiangfu Zhao
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Class balancing cost-harmonization LightGBM
cost-sensitive
credit card fraud detection
extremely imbalanced data
interpretability
oversampling
Online Access:https://ieeexplore.ieee.org/document/10737073/
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https://ieeexplore.ieee.org/document/10737073/

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