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

Additional Metadata
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 APA Style APA-ALL Style AAA 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). When the old meets the new: Combining Newcomb-Benford Law and Machine Learning Methods to Predict Fraud in Financial Statements. In Business Analytics & Management.http://hdl.handle.net/2105/57503

Publication