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A Self-Adapting and Efficient Dandelion Algorithm and Its Application to Feature Selection for Credit Card Fraud Detection

Honghao Zhu MengChu Zhou Yu Xie Aiiad Albeshri

IEEE/CAA Journal of Automatica Sinica2024，Vol.11Issue(2)：P.377-390,14.

IEEE/CAA Journal of Automatica Sinica2024，Vol.11Issue(2)：P.377-390,14.DOI:10.1109/JAS.2023.124008

A Self-Adapting and Efficient Dandelion Algorithm and Its Application to Feature Selection for Credit Card Fraud Detection

Honghao Zhu ¹MengChu Zhou ²Yu Xie ³Aiiad Albeshri⁴

作者信息

1. IEEE School of Computer and Information Engineering,Bengbu University,Bengbu 233030,China
2. IEEE School of Information and Electronic Engineering,Zhejiang Gongshang University,Hangzhou 310018,China Helen and John C.Hartmann,the Department of Electrical and Computer Engineering,New Jersey Institute of Technology,Newark NJ 07102 USA
3. College of Information Engineering,Shanghai Maritime University,Shanghai 201306,China
4. Department of Computer Science,King Abdulaziz University,Jeddah 21481,Saudi Arabia
折叠

摘要

关键词

Credit card fraud detection(CCFD)/dandelion algorithm(DA)/feature selection/normal sowing operator

分类

信息技术与安全科学

引用本文复制引用

Honghao Zhu,MengChu Zhou,Yu Xie,Aiiad Albeshri..A Self-Adapting and Efficient Dandelion Algorithm and Its Application to Feature Selection for Credit Card Fraud Detection[J].IEEE/CAA Journal of Automatica Sinica,2024,11(2):P.377-390,14.

基金项目

supported by the Institutional Fund Projects (IFPIP-1481-611-1443) （IFPIP-1481-611-1443）

the Key Projects of Natural Science Research in Anhui Higher Education Institutions (2022AH051909) （2022AH051909）

the Provincial Quality Project of Colleges and Universities in Anhui Province (2022sdxx020, 2022xqhz044) （2022sdxx020, 2022xqhz044）

Bengbu University 2021 High-Level Scientific Research and Cultivation Project (2021pyxm04)。（2021pyxm04）

IEEE/CAA Journal of Automatica Sinica

OACSTPCDEI

ISSN：2329-9266

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