Detecting Frauds in Financial Statements Using Deep-Forest
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7874-6_57
Reference18 articles.
1. Altman EI (2013) Predicting financial distress of companies: revisiting the z-score and zeta® models. In: Handbook of research methods and applications in empirical finance. Edward Elgar Publishing
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3. Beneish MD, Lee C, Nichols DC (2012) Fraud detection and expected returns. Available at SSRN 1998387
4. Cecchini M, Aytug H, Koehler GJ, Pathak P (2010) Detecting management fraud in public companies. Manag Sci 56(7):1146–1160
5. Chen JIZ, Lai KL (2021) Deep convolution neural network model for credit-card fraud detection and alert. J Artif Intell 3(02):101–112
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