Treffer: A Particle Swarm Data Miner
Title:
A Particle Swarm Data Miner
Authors:
Source:
Progress in artificial intelligence (Beja, 4-7 December 2003)Lecture notes in computer science. :43-53
Publisher Information:
Berlin: Springer, 2003.
Publication Year:
2003
Physical Description:
print, 14 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Apprentissage et systèmes adaptatifs, Learning and adaptive systems, Algorithme génétique, Genetic algorithm, Algoritmo genético, Algorithme évolutionniste, Evolutionary algorithm, Algoritmo evoluciónista, Analyse donnée, Data analysis, Análisis datos, Classification, Clasificación, Extraction information, Information extraction, Extracción información, Fouille donnée, Data mining, Busca dato, Langage JAVA, JAVA language, Lenguaje JAVA, Réseau neuronal, Neural network, Red neuronal, Optimisation essaim particule, Particle swarm optimization
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Escola Superior de Tecnologia, Instituto Politecnico de Castelo Branco, Av. do Empresário, 6000 Castelo Branco, Portugal
Centro de Informatica e Sistemas da Universidade de Coimbra Polo II - Pinhal de Marrocos, 3030 Coimbra, Portugal
Centro de Informatica e Sistemas da Universidade de Coimbra Polo II - Pinhal de Marrocos, 3030 Coimbra, Portugal
ISSN:
0302-9743
Rights:
Copyright 2004 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.15567513
Database:
PASCAL Archive
Weitere Informationen
This paper describes the implementation of Data Mining tasks using Particle Swarm Optimisers. The object of our research has been to apply such algorithms to classification rule discovery. Results, concerning accuracy and speed performance, were empirically compared with another evolutionary algorithm, namely a Genetic Algorithm and with J48 - a Java implementation of C4.5. The data sets used for experimental testing have already been widely used and proven reliable for testing other Data Mining algorithms. The obtained results seem to indicate that Particle Swarm Optimisers are competitive with other evolutionary techniques, and could come to be successfully applied to more demanding problem domains.