Paving the Way for a Smart City: The Value of Predictive Modelling - Using Machine Learning to Improve a Municipality’s Scanning Vehicle Operations

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Keywords	parking scanning vehicles, predictive modelling, random forest, extreme gradient boosting, prediction
Thesis Advisor	abdelwahed, A.A.M., Li, Ting
Persistent URL	hdl.handle.net/2105/54598
Series	Business Information 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	Jungmann, Annika. (2020, August 31). Paving the Way for a Smart City: The Value of Predictive Modelling - Using Machine Learning to Improve a Municipality’s Scanning Vehicle Operations. Business Information Management. Retrieved from http://hdl.handle.net/2105/54598

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