Bibtype | Inproceedings |
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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 |
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