Detecting anomalies in the payment process using machine learning models

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Keywords	Anomaly detection, Outlier Detection, Unsupervised ML, Supervised ML, Finance, Accounts Payable
Thesis Advisor	Bongaerts, Dion, Zehnder, Simon
Persistent URL	hdl.handle.net/2105/68493
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	Henseling, Niklas. (2023, July 11). Detecting anomalies in the payment process using machine learning models. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/68493

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