Using Price Sensitivity Drivers in Machine Learning To Predict Product Price Sensitivity

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Keywords	price sensitivity, multiple linear regression, semi-supervised clustering, supervised clustering, supervised sparse clustering
Thesis Advisor	Zegners, Dainis, Kanellopoulos, Ioannis
Persistent URL	hdl.handle.net/2105/68470
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	Li, Daisy. (2023, July 18). Using Price Sensitivity Drivers in Machine Learning To Predict Product Price Sensitivity. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/68470

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