Machine Learning Meets S.C.O.R.E: A Cost-Sensitive Approach to Fraud Detection

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Keywords	audit, Machine Learning, Behavioral Economics, U.S Markets, S.C.O.R.E, fraud detection
Thesis Advisor	Peek, E., Madelaine, Alexandre
Persistent URL	hdl.handle.net/2105/77332
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	Šipek, Marin. (2025). Machine Learning Meets S.C.O.R.E: A Cost-Sensitive Approach to Fraud Detection. In Business Analytics & Management.http://hdl.handle.net/2105/77332

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