Real-Time Demand Forecasting: The Successful Application of Ensemble Learning Methods to Increase Value Creation

Creators: Blank, Noah
Supervisor: Engel, Tobias
Title: Real-Time Demand Forecasting: The Successful Application of Ensemble Learning Methods to Increase Value Creation
Item Type: Thesis
Date: 28 August 2023
Divisions: Informationsmanagement
Study Programme: Bachelor - Informationsmanagement und Unternehmenskommunikation (IMU)
Language: English
Citation:

Blank, Noah (2023) Real-Time Demand Forecasting: The Successful Application of Ensemble Learning Methods to Increase Value Creation. Bachelor thesis, Hochschule Neu-Ulm.

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