A Proposed Model for Card Fraud Detection Based on CatBoost and Deep Neural Network

Author:

Nguyen Nghia1,Duong Truc2,Chau Tram1,Nguyen Van-Ho1,Trinh Trang1,Tran Duy1,Ho Thanh1ORCID

Affiliation:

1. Faculty of Information Systems, University of Economics and Law, Ho Chi Minh City, Vietnam

2. Vietnam National University, Ho Chi Minh City, Vietnam

Funder

University of Economics and Law, Vietnam National University Ho Chi Minh City

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference28 articles.

1. Fraud Detection using Machine Learning and Deep Learning

2. Gradient Boosted Decision Trees for Lithology Classification

3. CatBoost: Unbiased boosting with categorical features;prokhorenkova;Proc 32nd Conf Workshop Neural Inf Process Syst,2018

4. Greedy function approximation: A gradient boosting machine;friedman;Ann Statist,2001

5. Enhancing LambdaMART using oblivious trees;ferov;arXiv 1609 05610,2016

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