The Digital Risk Manager: Predicting Risks at the Start of Infrastructure Projects to Improve the Efficiency of Risk Managers

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Keywords	Risk Management, Machine Learning, Infrastructure Projects, Predicting Risks, NLP, Unsupervised Clustering
Thesis Advisor	van Dalen, Jan, Tekin, Müge
Persistent URL	hdl.handle.net/2105/71957
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	Degen, Jelle. (2024, July 2). The Digital Risk Manager: Predicting Risks at the Start of Infrastructure Projects to Improve the Efficiency of Risk Managers. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/71957

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