Application of Beneish M-Score Models and Data Mining to Detect Financial Fraud

Author:

Tarjo ,Herawati Nurul

Publisher

Elsevier BV

Subject

General Medicine

Reference35 articles.

1. Association of Certified Fraud Examiners (ACFE), 2014, Report to The Nation, Austin, Texas.

2. Akbar, F., 2013. Fraud Pengadaan Barang/Jasa, Proceeding of Conference in Business, Accounting and Management (CBAM), CBAM Vol. 1, No. 1.

3. Alleyne, Philmore and Howard, Michael. 2005. An Exploratory Study of Auditors’ Responsibility for Fraud Detection in Barbados. Managerial Auditing Journal Vol. 20 No. 3, pp. 284-303.

4. Ata, Ali. And Seyrek, Ibrahim, 2009. The Use of Data Mining Techniques in Detecting Fraudulent Financial Statements: An Application on Manufacturing Firms, The Journal of Faculty of Economics and Administrative Sciences, Vol. 14, No. 2, pp. 157-170.

5. Beneish, Messod D., 1999. The Detection of Earnings Manipulation, Financial Analysts Journal, September/October, pp. 24-36.

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