A new framework of feature engineering for machine learning in financial fraud detection

Financial fraud activities have soared despite the advancement of fraud detection models empowered by machine learning (ML). To address this issue, we propose a new framework of feature engineering for ML models. The framework consists of feature creation that combines feature aggregation and featur...

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Bibliographic Details
Main Authors: Ikeda, Chie, Ouazzane, Karim, Yu, Qicheng
Format: Conference or Workshop Item
Language:English
Published: 2020
Subjects:
Online Access:https://repository.londonmet.ac.uk/6407/2/The%20final%20version_feature%20engineering%20framework%20for%20financial%20fraud%20detection%20model.pdf