Role-Based Management and Matchmaking in Data-Mining Multi-Agent Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F13%3A00384805" target="_blank" >RIV/67985807:_____/13:00384805 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/13:10194238
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Role-Based Management and Matchmaking in Data-Mining Multi-Agent Systems
Original language description
We present an application of concepts of agent, role and group to the hybrid intelligence data-mining tasks. The computational MAS model is formalized in axioms of description logic. Two key functionalities ? matchmaking and correctness verification in the MAS ? are provided by the role model together with reasoning techniques which are embodied in specific ontology agent. Apart from a simple computational MAS scenario, other configurations such as pre-processing, meta-learning, or ensemble methods aredealt with.
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/GAP202%2F11%2F1368" target="_blank" >GAP202/11/1368: Learning of functional relationships from high-dimensional data</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Agents and Data Mining Interaction
ISBN
978-3-642-36287-3
ISSN
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e-ISSN
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Number of pages
14
Pages from-to
22-35
Publisher name
Springer
Place of publication
Berlin
Event location
Valencia
Event date
Jun 4, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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