Meta Learning in Multi-agent Systems for Data Mining
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F11%3A10103677" target="_blank" >RIV/00216208:11320/11:10103677 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/11:00375282
Result on the web
<a href="http://dx.doi.org/10.1109/WI-IAT.2011.233" target="_blank" >http://dx.doi.org/10.1109/WI-IAT.2011.233</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/WI-IAT.2011.233" target="_blank" >10.1109/WI-IAT.2011.233</a>
Alternative languages
Result language
angličtina
Original language name
Meta Learning in Multi-agent Systems for Data Mining
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1M0567" target="_blank" >1M0567: Centre for Applied Cybernetics</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
ISBN
978-0-7695-4513-4
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
433-434
Publisher name
IEEE Computer Society
Place of publication
Washington, DC, USA
Event location
Lyon, France
Event date
Aug 22, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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