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5th International Conference on Intelligent Systems Design and Applications (ISDA'05)
New Models for the Clustering of Large Databases through a Hierarchical Paradigm
Wroclaw, Poland
September 08-September 10
ISBN: 0-7695-2286-6
ASCII Text
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Irene Luque Ruiz, Gonzalo Cerruela Garcia, Manuel Urbano Cuadrado, Miguel Angel Gomez-Nieto, "New Models for the Clustering of Large Databases through a Hierarchical Paradigm," Intelligent Systems Design and Applications, International Conference on, pp. 2-7, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05), 2005.
 
 
BibTex
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@article{ 10.1109/ISDA.2005.72,
author = {Irene Luque Ruiz and Gonzalo Cerruela Garcia and Manuel Urbano Cuadrado and Miguel Angel Gomez-Nieto},
title = {New Models for the Clustering of Large Databases through a Hierarchical Paradigm},
journal ={Intelligent Systems Design and Applications, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2286-6},
pages = {2-7},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISDA.2005.72},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Intelligent Systems Design and Applications, International Conference on
TI - New Models for the Clustering of Large Databases through a Hierarchical Paradigm
SN - 0-7695-2286-6
SP2
EP7
A1 - Irene Luque Ruiz,
A1 - Gonzalo Cerruela Garcia,
A1 - Manuel Urbano Cuadrado,
A1 - Miguel Angel Gomez-Nieto,
PY - 2005
KW - null
VL - 0
JA - Intelligent Systems Design and Applications, International Conference on
ER -
 
Irene Luque Ruiz, University of Cordoba, Spain
Gonzalo Cerruela Garcia, University of Cordoba, Spain
Manuel Urbano Cuadrado, University of Cordoba, Spain
Miguel Angel Gomez-Nieto, University of Cordoba, Spain
The recovery of information from large databases based on similarity approach supposes a high computational cost when the process is carried out comparing each one of the records with the search pattern. If the database records store some data structure representing the information of the problem domain by means of a graph it is possible to classify these records using a hierarchical model, which considers the structural basic elements of the graphs and diminishes the computational cost of the recovery process considerably. In this paper we propose a classification model based on structural elements (cycles and chains) for large and medium databases.
Citation:
Irene Luque Ruiz, Gonzalo Cerruela Garcia, Manuel Urbano Cuadrado, Miguel Angel Gomez-Nieto, "New Models for the Clustering of Large Databases through a Hierarchical Paradigm," isda, pp.2-7, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05), 2005
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