When the old meets the new: Combining Newcomb-Benford Law and Machine Learning Methods to Predict Fraud in Financial Statements

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Keywords	Machine learning, Financial statements, Newcomb-Benford Law, Fraud detection
Thesis Advisor	Vanhaverbeke, Steven, Margolin, Max
Persistent URL	hdl.handle.net/2105/57503
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Voiseux, Gabrielle. (2021, July 15). When the old meets the new: Combining Newcomb-Benford Law and Machine Learning Methods to Predict Fraud in Financial Statements. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/57503

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