Webseite TUM Campus Straubing, Professorship Bioinformatics
Predicting the future based on historical observations is a common problem in many areas. Probabilistic methods provide several advantages for this purposes, but modern approaches are usually based on large datasets. These are often not available in small and medium-sized companies. The goal of this thesis is to evaluate whether they are nevertheless applicable for horticultural sales predictions based on datasets provided by partner companies.
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