Role-Based Management and Matchmaking in Data-Mining Multi-Agent Systems
Result 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.
Keywords
MASrole-based modelsdata-miningcomputational intelligencedescription logicmatchmakingclosed-world assumption
The result's identifiers
Result code in IS VaVaI
Alternative codes found
RIV/00216208:11320/13:10194238
Result on the web
—
DOI - Digital Object Identifier
—
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
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
GAP202/11/1368: Learning of functional relationships from high-dimensional data
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
—
e-ISSN
—
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
—
Basic information
Result type
D - Article in proceedings
CEP
IN - Informatics
Year of implementation
2013