Meta Learning in Multi-agent Systems for Data Mining

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...

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Published in2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Vol. 2; pp. 433 - 434
Main Authors Kazik, O., Peskova, Klara, Pilat, Martin, Neruda, R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2011
Subjects
Data mining
Educational institutions
MAS
meta learning
Multiagent systems
Ontologies
User interfaces
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ISBN9781457713736
145771373X
DOI10.1109/WI-IAT.2011.233

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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.
AbstractList 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.
Author Pilat, Martin
Neruda, R.
Kazik, O.
Peskova, Klara
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  surname: Neruda
  fullname: Neruda, R.
  email: roman@cs.cas.cz
  organization: Inst. of Comput. Sci., Acad. of Sci. of The Czech Republic, Prague, Czech Republic
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Snippet 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...
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StartPage 433
SubjectTerms Data mining
Educational institutions
MAS
meta learning
Multiagent systems
Ontologies
User interfaces
Title Meta Learning in Multi-agent Systems for Data Mining
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