AgentDiscover: A Multi-Agent System for Knowledge Discovery from Databases

被引：4
|
作者：
Popa, Horia [1 ]
Pop, Daniel [1 ]
Negru, Viorel [1 ]
Zaharie, Daniela [1 ]
机构：
[1] W Univ Timisoara, Dept Comp Sci, Timisoara, Romania
来源：
NINTH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/SYNASC.2007.57
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
引用
收藏
页码：275 / 281
页数：7
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