Detection of Concept Drift in Manufacturing Data with SHAP Values to Improve Error Prediction
| Author: | Christian Seiffer, Holger ZiekowGND, Ulf SchreierGND, Alexander GerlingORCiD |
|---|---|
| URL: | https://www.thinkmind.org/index.php?view=article&articleid=data_analytics_2021_3_40_60034 |
| ISBN: | 978-1-61208-891-4 |
| Parent Title (English): | DATA ANALYTICS 2021 : The Tenth International Conference on Data Analytics, October 3 - 7, 2021, Barcelona, Spain |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Completion: | 2021 |
| Release Date: | 2021/10/13 |
| Tag: | AI in manufacturing; Clustering; Concept drift detection; Error prediction; SHAP values |
| First Page: | 51 |
| Last Page: | 60 |
| Open-Access-Status: | Open Access |
| Licence (German): |  Urheberrechtlich geschützt |