| Bibtype | Inproceedings |
|---|---|
| Bibkey | Bunse/etal/2019a |
| Author | Bunse, Mirko and Saadallah, Amal and Morik, Katharina |
| Ls8autor |
Bunse, Mirko
Morik, Katharina Saadallah, Amal |
| Editor | Kottke, Daniel and Lemaire, Vincent and Calma, Adrian and Krempl, Georg and Holzinger, Andreas |
| Title | Towards Active Simulation Data Mining |
| Booktitle | Proc. of the 3rd Int. Tutorial and Workshop on Interactive Adaptive Learning at {ECML}-{PKDD} 2019 |
| Volume | 2444 |
| Pages | 104--107 |
| Publisher | {CEUR} Workshop Proceedings |
| Abstract | Simulations have recently been considered as data generators for machine learning. However, the high computational cost associated with them requires a smart sampling of what to simulate. We distinguish between two scenarios of simulation data mining, which can be optimized with active learning and active class selection. |
| Month | 09 |
| Year | 2019 |
| Projekt | SFB876-C3,SFB876-B3 |
| Url | http://ceur-ws.org/Vol-2444/ialatecml_shortpaper2.pdf |
|---|