Work

Detecting Channel Stuffing: An Unsupervised Learning Approach

Year: 2026

Type: article

Source: Journal of Emerging Technologies in Accounting

DOI: 10.2308/jeta-2025-022

Authors: Qing Huang, Huijue Kelly Duan, Miklos A. Vasarhelyi

Institutions: Marshall University, Sacred Heart University, Rutgers, The State University of New Jersey

Language: English

Topic: Benford’s Law and Fraud Detection

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Peace, justice, and strong institutions

Open Access status: closed

OpenAlex ID: W7167049145

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