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Towards Data-Driven Hybrid Composition of Data Mining Multi-agent Systems

SYSNO ASEP	0328423
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Towards Data-Driven Hybrid Composition of Data Mining Multi-agent Systems
Title	Hybridní kompozice multiagentních systémů pro data mining řízená daty
Author(s)	Neruda, Roman (UIVT-O)_{SAI, RID, ORCID}
Source Title	Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. - Berlin : Springer, 2009 / Lee R. ; Ishii N. - ISBN 978-3-642-01202-0
Pages	s. 271-281
Number of pages	11 s.
Action	SNPD 2009. ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing /10./
Event date	27.05.2009-29.05.2009
VEvent location	Daegu
Country	KR - Korea, Republic of
Event type	WRD
Language	eng - English
Country	DE - Germany
Keywords	data mining ; multi-agent systems ; artificial intelligence
Subject RIV	IN - Informatics, Computer Science
R&D Projects	1M0567 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
CEZ	AV0Z10300504 - UIVT-O (2005-2011)
UT WOS	000268391200024
EID SCOPUS	65749096086
DOI	10.1007/978-3-642-01203-7_24
Annotation	The approach of solving data mining tasks by a collection of cooperating agents can profit from modularity, interchangeable components, distributed execution, and autonomous operation. The problem of automatic configuration of agent collections is studied in this paper. A solution combining logical resolution system and evolutionary algorithm is proposed and demonstrated on a simple example.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2010

Number of the records: 1