| Time series feature extraction on basis of scalable hypothesis tests (tsfresh–a python package) M Christ, N Braun, J Neuffer, AW Kempa-Liehr Neurocomputing 307, 72-77, 2018 | 1163 | 2018 |
| Distributed and parallel time series feature extraction for industrial big data applications M Christ, AW Kempa-Liehr, M Feindt arXiv preprint arXiv:1610.07717, 2016 | 362 | 2016 |
| Integrating predictive analytics into complex event processing by using conditional density estimations M Christ, J Krumeich, AW Kempa-Liehr 2016 IEEE 20th International Enterprise Distributed Object Computing …, 2016 | 28 | 2016 |
| Opentosca for the 4th industrial revolution: Automating the provisioning of analytics tools based on apache flink M Falkenthal, U Breitenbücher, K Képes, F Leymann, M Zimmermann, ... Proceedings of the 6th International Conference on the Internet of Things …, 2016 | 26 | 2016 |
| Towards Function and Data Shipping in Manufacturing Environments: How Cloud Technologies leverage the 4th Industrial Revolution M Falkenthal, F Leymann, M Zimmermann, M Christ, AW Kempa-Liehr | 25 | 2016 |
| Distributed and parallel time series feature extraction for industrial big data applications. arXiv 2016 M Christ, AW Kempa-Liehr, M Feindt arXiv preprint arXiv:1610.07717, 0 | 22 | |
| Tsfresh M Christ, JN Nils Braun | 9 | 2019 |
| Time series analysis in industrial applications M Christ, F Kienle, A Kempa-Liehr Workshop on Extreme Value and Time Series Analysis, 0 | 9* | |
| On the implicit cost structure of service levels from the perspective of the service consumer M Christ, J Neuffer, AW Kempa-Liehr International Conference on Cloud Computing and Services Science 2, 531-538, 2017 | 1 | 2017 |
| Towards Function and Data Shipping in Manufacturing: How Cloud Technologies leverage the 4th Industrial Revolution M Falkenthal, U Breitenbücher, C Endres, M Christ, AW Kempa-Liehr, ... | | |
Associate Professor Andreas W. Kemp...The University of Auckland在 auckland.ac.nz 的电子邮件经过验证
