An hybrid architecture for clusters analysis: rough setstheory and self-organizing map artificial neural network

An hybrid architecture for clusters analysis: rough setstheory and self-organizing map artificial neural network

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The database of real world contains a huge volume of data and among them there are hidden piles of interesting relations that are actually very hard to find out. The knowledge discovery in databases (KDD) appears as a possible solution to find out such relations aiming at converting information into...

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Bibliographic Details
Main Author: Renato José Sassi
Format: Article
Language:English
Published: Sociedade Brasileira de Pesquisa Operacional 2012-04-01
Series:Pesquisa Operacional
Subjects:
clusters analysis
rough sets theory
self-organizing map
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382012000100009

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