معرفی
Vanessa Lange is a Professor at the Department of MND, Technische Hochschule Mittelhessen. Her research focuses on Operations Research, Stochastic Dynamic Optimization, Data Mining, and Machine Learning.
Supervised Theses:
- The branch-and-cut method (Bachelor of Business Mathematics)
- Comparison of different clustering methods in data mining (Bachelor of Business Mathematics)
- Appointment scheduling in medical facilities taking no-shows into account (Bachelor of Business Mathematics)
- The Google PageRank Algorithm (Bachelor of Business Mathematics)
- Hidden Markov Models (Bachelor of Business Mathematics)
- Analysis of delays using queue models (Bachelor of Business Mathematics)
- Application of Marcov Processes to Nurse Staffing (Bachelor of Mathematics)
- Influence of shift schedules on sickness rates (Bachelor of Mathematics)
- Sentiment Analysis (Master of Mathematics)
- Multimodularity and its application in optimization (Master of Mathematics)
- Feature Extraction and Feature Selection (Master Mathematics)
- Cutting plane methods, column generation and branch-and-cut (Master of Mathematics)
- Mathematical Methods of Revenue Management (Master of Mathematics)
- Loading optimization in combined freight transport (Darmstadt University of Applied Sciences)
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