Abstract
The manufacturing industry has difficulties with the question of how advanced analytics, can be integrated into production. This paper describes the algorithm selection step of an overall methodology for the systematic implementation of data mining projects in production. This is intended to provide users with a guideline to what a basic procedure may look like and what steps should be considered. First, this procedure is explained, which is then performed and illustrated on an application of high-frequency machine data.
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Ziegenbein, A., Stanula, P., Metternich, J., Abele, E. (2019). Machine Learning Algorithms in Machining: A Guideline for Efficient Algorithm Selection. In: Schmitt, R., Schuh, G. (eds) Advances in Production Research. WGP 2018. Springer, Cham. https://doi.org/10.1007/978-3-030-03451-1_29
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DOI: https://doi.org/10.1007/978-3-030-03451-1_29
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