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