| Bibtype |
Inproceedings |
| Bibkey |
Bunse/etal/2019a |
| Author |
Bunse, Mirko and Saadallah, Amal and Morik, Katharina |
| 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 |
