Bunse/etal/2019a: Towards Active Simulation Data Mining

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

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