UCC Library and UCC researchers have made this item openly available. Please let us know how this has helped you. Thanks! Title An end-to-end process model for supervised machine learning classification: from problem to deployment in information systems Author(s) Hirt, Robin; Koehl, Niklas J.; Satzger, Gerhard Editor(s) Maedche, Alexander vom Brocke, Jan Hevner, Alan Publication date 2017 Original citation Hirt, R., Kuehl, N. J. and Satzger, G. (2017) 'An End-to-End Process Model for Supervised Machine Learning Classification: From Problem to Deployment in Information Systems'. In: Maedche, A., vom Brocke, J., Hevner, A. (eds.) Designing the Digital Transformation: DESRIST 2017 Research in Progress Proceedings of the 12th International Conference on Design Science Research in Information Systems and Technology. Karlsruhe, Germany. 30 May - 1 Jun. Karslruhe: Karlsruher Institut für Technologie (KIT), pp. 55-63 Type of publication Conference item Link to publisher's version https://publikationen.bibliothek.kit.edu/1000069452 http://desrist2017.kit.edu/ Access to the full text of the published version may require a subscription. Rights ©2017, The Author(s). This document is licensed under the Creative Commons Attribution – Share Alike 4.0 International License (CC BY-SA 4.0): https://creativecommons.org/licenses/by-sa/4.0/deed.en https://creativecommons.org/licenses/by-sa/4.0/deed.en Item downloaded from http://hdl.handle.net/10468/4442 Downloaded on 2021-11-25T20:59:58Z