A Novel credit card fraud detection feature selection system using machine learning-Reference-Cited by-同舟云学术

A Novel credit card fraud detection feature selection system using machine learning

Published:2023-11-23 Issue: Volume:23 Page:1-5
ISSN:
Container-title:Proceedings of the 5th International Conference on Information Management & Machine Intelligence
language:
Short-container-title:

Author:

Chaudhary Jitendra Kumar¹^ORCID,S Balakrishnan²^ORCID,Kapila Dhiraj³^ORCID,Hasan Dler Salih⁴^ORCID,Shafeeq Mohammad⁵^ORCID,Vishwakarma Sunil Kumar⁶^ORCID

Affiliation:

1. School of Computing, Graphic Era Hill University Bhimtal Campus, India

2. Department of Commerce, SRM Institute of Science and Technology, India

3. CSE, Lovely Professional University, India

4. Computer Science and Information tech., University of SalahaddinErbil Iraq, Iraq

5. Computer Science and Engineering, Babu Banarasi Das University, India

6. Department of Computer Science and Engineering, Pranveer Singh Institute of Technology, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3647444.3647867

Reference41 articles.

1. Real-time Credit Card Fraud Detection Using Machine Learning

2. Srivastava, P. K., Kumar, S., Tiwari, A., Goyal, D., & Mamodiya, U. (2023, June). Internet of thing uses in materialistic ameliorate farming through AI. In AIP Conference Proceedings (Vol. 2782, No. 1). AIP Publishing.

3. Random forest as a predictive analytics alternative to regression in institutional research;Lingjun H.;Practical Assessment, Research, and Evaluation,2018

4. A Sustainable and Secure Cloud resource provisioning system in Industrial Internet of Things (IIoT) based on Image Encryption

5. Class balancing framework for credit card fraud detection based on clustering and similarity-based selection (SBS)