Data-Driven Approach for Credit Card Fraud Detection with Autoencoder and One-Class Classification Techniques.

Ouedraogo, A.; Heuchenne, Cédric; Nguyen, Q.T.; Tran, P.H.

doi:10.1007/978-3-030-85874-2_4

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Data-Driven Approach for Credit Card Fraud Detection with Autoencoder and One-Class Classification Techniques.

Ouedraogo, A.; Heuchenne, Cédric; Nguyen, Q.T. et al.

2021 • In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems.

Peer reviewed

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https://hdl.handle.net/2268/267347

DOI
10.1007/978-3-030-85874-2_4

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Disciplines :

Engineering, computing & technology: Multidisciplinary, general & others

Author, co-author :

Ouedraogo, A.

Heuchenne, Cédric ; Université de Liège - ULiège > HEC Liège : UER > UER Opérations: Statistique appl. à la gest. et à l'économie

Nguyen, Q.T.

Tran, P.H.

Language :

English

Title :

Data-Driven Approach for Credit Card Fraud Detection with Autoencoder and One-Class Classification Techniques.

Publication date :

2021

Main work title :

Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems.

Publisher :

Springer, Cham., Nantes, France

ISBN/EAN :

978-3-030-85874-2

Collection name :

IFIP Advances in Information and Communication Technology

Pages :

31-38

Peer reviewed :

Peer reviewed

Additional URL :

https://doi.org/10.1007/978-3-030-85874-2

Available on ORBi :

since 19 January 2022

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