Meta Learning in Multi-agent Systems for Data Mining

@article{Kazk2011MetaLI,
  title={Meta Learning in Multi-agent Systems for Data Mining},
  author={Ondrej Kaz{\'i}k and Kl{\'a}ra Peskov{\'a} and Martin Pil{\'a}t and Roman Neruda},
  journal={2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology},
  year={2011},
  volume={2},
  pages={433-434}
}
In this paper we present the Pikater multi-agent system designed for solving complex data mining tasks. We emphasize the unique intelligent features of the system--its ability to search the parameter space of the data mining methods to find the optimal configuration, and meta learning--finding the best possible method for the given data based on the ontological compatibility of datasets. 

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