I am a French engineer and a Ph.D. candidate in Data Mining at the Karlsruhe Institute of Technology (KIT), under the supervision of Prof. Dr.-Ing. Klemens Böhm. I hold a master's degree in Computer Science from KIT and a master's degree in Engineering from ESIEE Paris. My research focuses on:
- Unsupervised Learning in High-Dimensional Data Streams
- Correlation Analysis
- Bandit Algorithms
- Outlier Detection / Clustering
You may find more information about me on:
Publications
Titel |
Autor |
Quelle |
| Reducing Energy Time Series for Energy System Models via Self-Organizing Maps |
Hasan Ümitcan Yilmaz, Edouard Fouché, Thomas Dengiz, Lucas Krauß, Dogan Keles, Wolf Fichtner |
IT-Information Technology Special Issue: Energy Status Data, 2019 |
| Unsupervised Artificial Neural Networks for Outlier Detection in High-Dimensional Data |
Daniel Popovic, Edouard Fouché, Klemens Böhm |
Proceedings of the 23rd European Conference on Advances in Databases and Information Systems (ADBIS ’19), September 8–11, 2019, Bled, Slovenia. |
| Scaling Multi-Armed Bandit Algorithms |
Edouard Fouché, Junpei Komiyama, Klemens Böhm |
Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019) |
| Monte Carlo Dependency Estimation |
Edouard Fouché, Klemens Böhm |
Proceedings of the 31st International Conference on Scientific and Statistical Database Management (SSDBM 2019) |
| In-Database Analytics with ibmdbpy |
Edouard Fouché, Alexander Eckert, Klemens Böhm |
Proceedings of the 30th International Conference on Scientific and Statistical Database Management 2018 (SSDBM 2018) |
