%0 Thesis %1 bergmeir2018enhanced %A Bergmeir, Philipp %B Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart %C Wiesbaden %D 2018 %I Springer Vieweg %K %R 10.1007/978-3-658-20367-2 %T Enhanced machine learning and data mining methods for analysing large hybrid electric vehicle fleets based on load spectrum data %@ 978-3-658-20366-5 and 978-3-658-20367-2

@phdthesis{bergmeir2018enhanced, added-at = {2023-08-31T16:38:57.000+0200}, address = {Wiesbaden}, author = {Bergmeir, Philipp}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2e59ce5daaa11224e33d905f7044e9fff/puma-wartung}, doi = {10.1007/978-3-658-20367-2}, eventdate = {2017-09-07}, interhash = {b01b560742a16889e6e42656496fd2f5}, intrahash = {e59ce5daaa11224e33d905f7044e9fff}, isbn = {{978-3-658-20366-5} and {978-3-658-20367-2}}, keywords = {}, language = {eng}, publisher = {Springer Vieweg}, school = {Universität Stuttgart}, series = {Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart}, supervisor = {Bargende, Michael}, supervisorgnd = {112278345}, timestamp = {2023-08-31T14:38:57.000+0200}, title = {Enhanced machine learning and data mining methods for analysing large hybrid electric vehicle fleets based on load spectrum data}, type = {Dissertation}, year = 2018 }