Evaluation of global and local pattern approaches for sales predictions of small and medium-sized companies

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  • Straubing

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Predicting the future based on historical observations is a common problem in many areas. A potential way to implement this are Time Series Forecasting methods. Some of these combine global and local patterns present in the data. Global effects might be identified in related time series, e.g. from the same domain. These can be enriched with local patterns, e.g. of a specific company, to provide final predictions. There are several approaches in literature which make use of this idea. The goal of this thesis is to evaluate their applicability to sales predictions of small and medium-sized horticultural companies.

For more information, please have a look at 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