DocumentCode
2859097
Title
AgentDiscover: A Multi-Agent System for Knowledge Discovery from Databases
Author
Popa, Horia ; Pop, Daniel ; Negru, Viorel ; Zaharie, Daniela
Author_Institution
West Univ. of Timisoara Timisoara, Timisoara
fYear
2007
fDate
26-29 Sept. 2007
Firstpage
275
Lastpage
282
Abstract
AgentDiscover is a multi-agent based intelligent recommendation system, supporting real-time control and feedback, for building and execution workflows for knowledge discovery from databases (KDD). The aim of the proposed system is to deal with the complexity of KDD processes and to offer a tool that supports both researchers exploring KDD methods and non-expert users looking for quick results in this field. A prototype was developed in JADE and the approach was tested for a medical dataset.
Keywords
data mining; database management systems; multi-agent systems; database management system; intelligent recommendation system; knowledge discovery; multiagent system; Control systems; Deductive databases; Feedback; Intelligent agent; Intelligent structures; Intelligent systems; Medical tests; Multiagent systems; Prototypes; Real time systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Symbolic and Numeric Algorithms for Scientific Computing, 2007. SYNASC. International Symposium on
Conference_Location
Timisoara
Print_ISBN
978-0-7695-3078-8
Type
conf
DOI
10.1109/SYNASC.2007.57
Filename
4438110
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