| Towards integrated data analysis quality: criteria for the application of industrial data science N West, J Gries, C Brockmeier, JC Göbel, J Deuse 2021 IEEE 22nd International Conference on Information Reuse and Integration …, 2021 | 29 | 2021 |
| A retrofit approach for predictive maintenance R Wöstmann, A Barthelmey, N West, J Deuse, T Schüppstuhl, K Tracht, ... Tagungsband des 4, 94-106, 2019 | 25 | 2019 |
| A Holistic Methodology for Successive Bottleneck Analysis in Dynamic Value Streams of Manufacturing Companies N West, M Syberg, J Deuse Proceedings of the Changeable, Agile, Reconfigurable and Virtual Production …, 2021 | 17 | 2021 |
| Rediscovering Scientific Management-The Evolution from Industrial Engineering to Industrial Data Science J Deuse, N West, M Syberg International Journal of Production Management and Engineering, 2022 | 16 | 2022 |
| Adaptive similarity search for the retrieval of rare events from large time series databases T Schlegl, S Schlegl, D Tomaselli, N West, J Deuse Advanced Engineering Informatics 52, 101629, 2022 | 11 | 2022 |
| Requirements for the development of a collaboration platform for competency-based collaboration in industrial data science projects M Syberg, N West, J Schwenken, R Adams, J Deuse The International Conference on Industrial Engineering and Industrial …, 2022 | 10 | 2022 |
| Development of a transdisciplinary role concept for the process chain of industrial data science J Schwenken, C Klupak, M Syberg, N West, F Walker, J Deuse Proceedings of Data Analytics and Management: ICDAM 2022, 81-88, 2023 | 8 | 2023 |
| Scalable anomaly detection in manufacturing systems using an interpretable deep learning approach T Schlegl, S Schlegl, N West, J Deuse Procedia CIRP 104, 1547-1552, 2021 | 8 | 2021 |
| Comparative Study of Methods for the Real-Time Detection of Dynamic Bottlenecks in Serial Production Lines N West, J Schwenken, J Deuse International Conference on Industrial, Engineering and Other Applications …, 2022 | 6 | 2022 |
| Margin-based greedy shapelet search for robust time series classification of imbalanced data T Schlegl, S Schlegl, A Sciberras, N West, J Deuse 2021 IEEE International Conference on Big Data (Big Data), 5266-5274, 2021 | 3 | 2021 |
| Industrielle Datenanalyse: Entwicklung einer Datenanalyse-Plattform für die wertschaffende, kompetenzorientierte Kollaboration in dynamischen Wertschöpfungsnetzwerken J Deuse, R Klinkenberg, N West Springer Nature, 2024 | 2 | 2024 |
| Unsupervised anomaly detection in unbalanced time series data from screw driving processes using k-means clustering N West, T Schlegl, J Deuse Procedia CIRP 120, 1185-1190, 2023 | 2 | 2023 |
| Framework for predictive sales and demand planning in customer-oriented manufacturing systems using data enrichment and machine learning M Syberg, N West, D Lenze, J Deuse Procedia CIRP 120, 1107-1112, 2023 | 2 | 2023 |
| Automated search of process control limits for fault detection in time series data T Schlegl, D Tomaselli, S Schlegl, N West, J Deuse Journal of Process Control 117, 52-64, 2022 | 2 | 2022 |
| Pipeline for the Automatic Extraction of Procedural Knowledge from Assembly Instructions into Controlled Natural Language. C Rese, N West, M Gebler, S Krzoska, P Schlunder, J Deuse J. Softw. 18 (1), 1-14, 2023 | 1 | 2023 |
| The Evolution of Scientific Management: From Industrial Engineering to Industrial Data Science J Deuse, N West, M Syberg Proceedings of the 15th International Conference on Industrial Engineering …, 2021 | 1 | 2021 |
| Establishing a Machine Learning and Internet of Things Learning Infrastructure by Operating Transnational Cyber-Physical Brewing Labs J Deuse, R Wöstmann, M Syberg, N West, D Wagstyl, VH Moreno Conference on Learning Factories, 171-178, 2024 | | 2024 |
| A requirement-driven approach for competency-based collaboration in industrial data science projects M Syberg, N West, J Schwenken, R Adams, J Deuse International Journal of Production Management and Engineering 12 (1), 79-90, 2024 | | 2024 |
| A Comparative Study of Machine Learning Approaches for Anomaly Detection in Industrial Screw Driving Data N West, J Deuse | | 2024 |
| Ausgangssituation und technische Grundlagen: Technische und organisatorische Rahmenbedingungen zur Anwendung industrieller Datenanalysen in dynamischen Wertschöpfungsnetzwerken N West, M Syberg, J Schwenken, T Eickhoff, JC Göbel, M Frey, A Emrich, ... Industrielle Datenanalyse: Entwicklung einer Datenanalyse-Plattform für die …, 2023 | | 2023 |
