Meta Learning in Multi-agent Systems for Data Mining

Abstrakt

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.

Klíčová slova

• MAS
• meta learning
• data mining
• ontologies