Automated and Feature-Based Problem Characterization and Algorithm Selection Through Machine Learning
Basic data of the doctoral examination procedure
Doctoral examination procedure finished at: Doctoral examination procedure at University of Münster
Period of time: to 13/11/2017
Status: completed
Candidate: Kerschke, Pascal
Doctoral subject: Wirtschaftsinformatik
Doctoral degree: Dr. rer. pol.
Awarded by: Department 04 - Münster School of Business and Economics
Supervisors: Trautmann, Heike; Bäck, Thomas
Promovend*in an der Universität Münster
| Kerschke, Pascal | Data Science: Statistics and Optimization (Statistik) |
Supervision at the University of Münster
| Trautmann, Heike | Data Science: Statistics and Optimization (Statistik) |
Preisverleihungen erhalten für Promotion
| Dissertation Prize of the School of Business and Economics of the University of Münster Awarded by: University of Münster Award given to: Kerschke, Pascal Announced at: 12/11/2018 | Date of awarding: 15/12/2018 Type of distinction: Research award or other distinction |