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
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;
Conference_Titel :
Symbolic and Numeric Algorithms for Scientific Computing, 2007. SYNASC. International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-0-7695-3078-8
DOI :
10.1109/SYNASC.2007.57
