| 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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