18 Publikationen
2026 | Artikel | FH-PUB-ID: 6485 | 
N. Migenda, R. Möller, and W. Schenck, “H-NGPCA: Hierarchical clustering of data streams with adaptive number of clusters and adaptive dimensionality,” PLOS One, vol. 21, no. 1, 2026.
HSBI-PUB
| DOI
| Download (ext.)
2025 | Artikel | FH-PUB-ID: 6244 |
M. Niederhaus, N. Migenda, J. Weller, M. Kohlhase, and W. Schenck, “Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems,” Big Data and Cognitive Computing, vol. 9, no. 10, 2025.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 4916
J. Weller, N. Migenda, A. Kühn, and R. Dumitrescu, “Prescriptive Analytics Data Canvas: Strategic Planning For Prescriptive Analytics In Smart Factories,” presented at the 6th Conference on Production Systems and Logistics, Honolulu, Hawaii, 2024.
HSBI-PUB
| DOI
2024 | Buchbeitrag | FH-PUB-ID: 4915
J. Weller et al., “Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories,” in Machine Learning for Cyber-Physical Systems. Selected papers from the International Conference ML4CPS 2023, vol. 18, O. Niggemann, J. Beyerer, M. Krantz, and C. Kühnert, Eds. Cham: Springer Nature Switzerland, 2024, pp. 89–100.
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 4700
J. Weller, N. Migenda, A. Wegel, M. Kohlhase, W. Schenck, and R. Dumitrescu, “Conceptual Framework for Prescriptive Analytics Based on Decision Theory in Smart Factories,” in 2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS), Marrakesh, Morocco, 2023, pp. 1–7.
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 2570
C. Hoppe, D. Pelkmann, N. Migenda, D. A. Hotte, and W. Schenck, “Towards Intelligent Legal Advisors for Document Retrieval and Question-Answering in German Legal Documents,” in 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), Laguna Hills, CA, USA, 2021, pp. 29–32.
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 2572
L. Steinmann, N. Migenda, T. Voigt, M. Kohlhase, and W. Schenck, “Variational Autoencoder based Novelty Detection for Real-World Time Series,” in 2021 3rd International Conference on Management Science and Industrial Engineering, Osaka Japan, 2021, pp. 1–7.
HSBI-PUB
| DOI
2019 | Buchbeitrag | FH-PUB-ID: 1208
N. Migenda, R. Möller, and W. Schenck, “Adaptive Dimensionality Adjustment for Online ‘Principal Component Analysis,’” in Intelligent Data Engineering and Automated Learning – IDEAL 2019. 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I, H. Yin, D. Camacho, P. Tino, A. J. Tallón-Ballesteros, R. Menezes, and R. Allmendinger, Eds. Cham: Springer International Publishing, 2019, pp. 76–84.
HSBI-PUB
| DOI
Suche
Publikationen filtern
Darstellung / Sortierung
Export / Einbettung
18 Publikationen
2026 | Artikel | FH-PUB-ID: 6485 |
N. Migenda, R. Möller, and W. Schenck, “H-NGPCA: Hierarchical clustering of data streams with adaptive number of clusters and adaptive dimensionality,” PLOS One, vol. 21, no. 1, 2026.
HSBI-PUB
| DOI
| Download (ext.)
2025 | Artikel | FH-PUB-ID: 6244 |
M. Niederhaus, N. Migenda, J. Weller, M. Kohlhase, and W. Schenck, “Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems,” Big Data and Cognitive Computing, vol. 9, no. 10, 2025.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 4916
J. Weller, N. Migenda, A. Kühn, and R. Dumitrescu, “Prescriptive Analytics Data Canvas: Strategic Planning For Prescriptive Analytics In Smart Factories,” presented at the 6th Conference on Production Systems and Logistics, Honolulu, Hawaii, 2024.
HSBI-PUB
| DOI
2024 | Buchbeitrag | FH-PUB-ID: 4915
J. Weller et al., “Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories,” in Machine Learning for Cyber-Physical Systems. Selected papers from the International Conference ML4CPS 2023, vol. 18, O. Niggemann, J. Beyerer, M. Krantz, and C. Kühnert, Eds. Cham: Springer Nature Switzerland, 2024, pp. 89–100.
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 4700
J. Weller, N. Migenda, A. Wegel, M. Kohlhase, W. Schenck, and R. Dumitrescu, “Conceptual Framework for Prescriptive Analytics Based on Decision Theory in Smart Factories,” in 2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS), Marrakesh, Morocco, 2023, pp. 1–7.
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 2570
C. Hoppe, D. Pelkmann, N. Migenda, D. A. Hotte, and W. Schenck, “Towards Intelligent Legal Advisors for Document Retrieval and Question-Answering in German Legal Documents,” in 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), Laguna Hills, CA, USA, 2021, pp. 29–32.
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 2572
L. Steinmann, N. Migenda, T. Voigt, M. Kohlhase, and W. Schenck, “Variational Autoencoder based Novelty Detection for Real-World Time Series,” in 2021 3rd International Conference on Management Science and Industrial Engineering, Osaka Japan, 2021, pp. 1–7.
HSBI-PUB
| DOI
2019 | Buchbeitrag | FH-PUB-ID: 1208
N. Migenda, R. Möller, and W. Schenck, “Adaptive Dimensionality Adjustment for Online ‘Principal Component Analysis,’” in Intelligent Data Engineering and Automated Learning – IDEAL 2019. 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I, H. Yin, D. Camacho, P. Tino, A. J. Tallón-Ballesteros, R. Menezes, and R. Allmendinger, Eds. Cham: Springer International Publishing, 2019, pp. 76–84.
HSBI-PUB
| DOI