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Multi-Agent Architecture for Knowledge Discovery
Timisoara, Romania September 26-September 29
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SYNASC.2006.55Eighth International Symposium on Sym ...
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Daniel Pop, Viorel Negru, Calin Sandru, "Multi-Agent Architecture for Knowledge Discovery," Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on, pp. 217-226, Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06), 2006.
 
 
BibTex
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@article{ 10.1109/SYNASC.2006.55,
author = {Daniel Pop and Viorel Negru and Calin Sandru},
title = {Multi-Agent Architecture for Knowledge Discovery},
journal ={Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on},
volume = {0},
year = {2006},
isbn = {0-7695-2740-X},
pages = {217-226},
doi = {http://doi.ieeecomputersociety.org/10.1109/SYNASC.2006.55},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on
TI - Multi-Agent Architecture for Knowledge Discovery
SN - 0-7695-2740-X
SP217
EP226
A1 - Daniel Pop,
A1 - Viorel Negru,
A1 - Calin Sandru,
PY - 2006
KW - null
VL - 0
JA - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on
ER -
 
Daniel Pop, West University of Timisoara, Romania
Viorel Negru, West University of Timisoara, Romania
Calin Sandru, West University of Timisoara, Romania
Knowledge Discovery from Databases (KDD) is a complex process composed of several phases: business understanding, data understanding, data preparation, modeling, evaluation and deployment. For each of the phases, there are many algorithms and methods available, the end-user having to select one of them. The AgentDiscover is a multi-agent based intelligent recommendation system for selection of the most appropriate solving method for each phase. This brings added value for both novice and experienced users.
Citation:
Daniel Pop, Viorel Negru, Calin Sandru, "Multi-Agent Architecture for Knowledge Discovery," synasc, pp.217-226, Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06), 2006
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