• DocumentCode
    3643754
  • Title

    Meta Learning in Multi-agent Systems for Data Mining

  • Author

    Ondrej Kazik;Kl´ra Peskova;Martin Pil´t;Roman Neruda

  • Author_Institution
    Dept. of Theor. Comput. Sci., Charles Univ. Prague, Prague, Czech Republic
  • Volume
    2
  • fYear
    2011
  • Firstpage
    433
  • Lastpage
    434
  • Abstract
    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.
  • Keywords
    "Data mining","Ontologies","Databases","Multiagent systems","Educational institutions","User interfaces"
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on
  • Print_ISBN
    978-1-4577-1373-6
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2011.233
  • Filename
    6040671
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3643754