How to Use Unsupervised Machine Learning to Identify Suspicious Anomalies in Forensic Data

Additional Metadata
Keywords	Mathijs Barendse, Student BAM, 590945
Thesis Advisor	Sandu, M.I., Zehnder, Simon
Persistent URL	hdl.handle.net/2105/63679
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	Barendse, Mathijs. (2022, July 19). How to Use Unsupervised Machine Learning to Identify Suspicious Anomalies in Forensic Data. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/63679

Publication