Applying Cost-Sensitive Classification for Financial Fraud Detection under High Class-Imbalance-Reference-Cited by-同舟云学术

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Applying Cost-Sensitive Classification for Financial Fraud Detection under High Class-Imbalance

Published:2014-12 Issue: Volume: Page:
ISSN:
Container-title:2014 IEEE International Conference on Data Mining Workshop
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Author:

Moepya Stephen O.,Akhoury Sharat S.,Nelwamondo Fulufhelo V.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7022263/7022545/07022596.pdf?arnumber=7022596

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Online imbalance learning with unpredictable feature evolution and label scarcity;Neurocomputing;2024-12

2. Fraud detection in financial statements using data mining and GAN models;Expert Systems with Applications;2023-10

3. Novo algoritmo ensemble para detecção de fraude em transações de cartão de crédito;Revista Tecnologia e Sociedade;2023-05-09

4. Predicting financial statement manipulation in South Africa: A comparison of the Beneish and Dechow models;Cogent Economics & Finance;2023-03-15

5. A Powerful Predicting Model for Financial Statement Fraud Based on Optimized XGBoost Ensemble Learning Technique;Applied Sciences;2023-02-10

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