| Publisher DOI: | 10.1007/978-981-16-2380-6_82 | Title: | An Empirical Evaluation of Machine Learning Methods for the Insurance Industry | Language: | English | Authors: | Dammann, Michael Gnoss, Nicolai Achim Kunert, Pamela Ramcke, Eike-Christian Schreier, Tobias Cedric Steffens, Ulrike Zukunft, Olaf |
Editor: | Yang, Xin-She Sherratt, Simon Dey, Nilanjan Joshi, Amit |
Keywords: | Classification; Initial reserve; Insurance claims; Machine learning; Regression | Issue Date: | 1-Jan-2022 | Publisher: | Springer | Part of Series: | Proceedings of Sixth International Congress on Information and Communication Technology | Volume number: | 2 | Journal or Series Name: | Lecture notes in networks and systems | Volume: | 236 | Startpage: | 933 | Endpage: | 941 | Conference: | International Congress on Information and Communication Technology 2021 | URI: | http://hdl.handle.net/20.500.12738/12313 | ISBN: | 978-981-16-2379-0 978-981-16-2381-3 978-981-16-2380-6 |
ISSN: | 2367-3370 | Edition / version: | 1st ed. 2022 | Institute: | Department Informatik Fakultät Technik und Informatik |
Type: | Chapter/Article (Proceedings) |
| Appears in Collections: | Publications without full text |
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