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

In this paper, we present a fraud detection framework for publicly traded firms using an optimization approach integrated with a meta-heuristic algorithm known as Beetle Antennae Search (BAS). Existing techniques include human resources, like financial experts and audit teams, to determine the ambig...

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Veröffentlicht in:	Expert systems with applications 2022-04, Vol.191, p.116148, Article 116148
Hauptverfasser:	Khan, Ameer Tamoor, Cao, Xinwei, Li, Shuai, Katsikis, Vasilios N., Brajevic, Ivona, Stanimirovic, Predrag S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accounting Algorithms Antennae BAS Classification Finance Fraud Fraud-detection Heuristic methods Human resources Machine learning Optimization Searching US-firms
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