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Authors:
Mehlstäubl, Jan; Nicklas, Simon; Gerschütz, Benjamin; Sprogies, Nicolai; Schleich, Benjamin; Lohner, Thomas; Wartzack, Sandro; Stahl, Karsten; Paetzold, Kristin 
Document type:
Konferenzbeitrag / Conference Paper 
Title:
Voraussetzungen für den Einsatz datengetriebener Methoden in der Produktentwicklung 
Collection editors:
Krause, Dieter; Paetzold, Kristin; Wartzack, Sandro 
Title of conference publication:
DS 111: Proceedings of the 32nd Symposium Design for X (DFX2021) 
Series title:
DfX 
Conference title:
Symposium Design for X (32., 2021, Virtuell) 
Venue:
Virtuell 
Year of conference:
2021 
Date of conference beginning:
27.09.2021 
Date of conference ending:
28.09.2021 
Publisher:
Design Society 
Year:
2021 
Pages from - to:
10 
Language:
Englisch 
Keywords:
DFX ; Data Mining ; Data-driven Methods ; Machine Learning ; Product Development 
Abstract:
Data mining and machine learning are successfully applied in many business areas such as marketing or production. Due to the increasing complexity in data and information flows and the large amount of data, data-driven solutions have also great potential in product development. Nevertheless, many companies are not able to integrate data-driven methods into their product development process. In order to support the application of data-driven methods, this paper identifies necessary prerequisites...    »
 
Department:
Fakultät für Luft- und Raumfahrttechnik 
Institute:
LRT 3 - Institut für Technische Produktentwicklung 
Chair:
Paetzold, Kristin 
Open Access yes or no?:
Ja / Yes