Evaluation of modern Time Series Forecasting approaches for sales of small and medium-sized companies

  • Abschlussarbeit
  • Straubing

Webseite TUM Campus Straubing, Professorship Bioinformatics

Predicting the future based on historical observations is a common problem in many areas. For this purpose, modern statistical and machine learning based methods for Time Series Forecasting are widely applied. Some of the best performing modern approaches were developed based on large datasets, which are usually 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.

For more information, please see the linked document and feel free to contact us.

Um sich für diesen Job zu bewerben, sende deine Unterlagen per E-Mail an florian.haselbeck@tum.de