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...
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 |
Similar Items
-
New feature engineering framework for deep learning in financial fraud detection
by: Ikeda, Chie, et al.
Published: (2021) -
A new feature engineering framework for financial cyber fraud detection using machine learning and deep learning
by: Ikeda, Chie
Published: (2022) -
An integrated Machine Learning framework for fraud detection: a comparative and comprehensive approach
by: Ouazzane, Karim, et al.
Published: (2022) -
Remote banking fraud detection framework using sequence learners
by: Patel, Yogesh, et al.
Published: (2019) -
Cross channel fraud detection framework in financial services using recurrent neural networks
by: Patel, Yogesh
Published: (2019)