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Autoclassification machine learning model for hierarchical data structures

Ines Vetter

Information Technology, Mannheim University of Applied Sciences, Germany


What if new data found its way to exactly where it belongs in a company‘s data management system all by itself? As our world becomes more and more data-driven, it is important for companies to keep a good overview of their data. The goal of this thesis is to train a machine learning model that automatically classifies product data to sort it into the company’s data system.​

Talk info

16.00 - 16.15 Room 0.09