Fraud detection in publicly traded U.S firms using Beetle Antennae Search: A machine learning approach

作者：

Highlights：

• Fraud detection in US-Public firms using BAS algorithm.

• BAS is computationally and time-wise efficient.

• Unbalanced Public firms’ dataset is tackled with SMOTE and BAS.

• Achieved state-of-the-art accuracy in comparison with other algorithms.

• Time efficiency of BAS outperformed other algorithms.

摘要

•Fraud detection in US-Public firms using BAS algorithm.•BAS is computationally and time-wise efficient.•Unbalanced Public firms’ dataset is tackled with SMOTE and BAS.•Achieved state-of-the-art accuracy in comparison with other algorithms.•Time efficiency of BAS outperformed other algorithms.

论文关键词：Optimization,Finance,US-firms,Fraud-detection,BAS,Classification

论文评审过程：Received 8 April 2021, Revised 27 July 2021, Accepted 23 October 2021, Available online 13 November 2021, Version of Record 12 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116148