A strategy for classifying imbalanced data sets based on particle swarm optimization

Currently, there is a number of tools which allow analyzing information-based behavioral patterns; in the specific case of this article, the analysis of tendencies will be highlighted not only as a tool to predict the behavior of prices in order to measure and process financial market information bu...

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Autores:
Ceballes-Serrano C.C.
Garcia-Lopez S.
Jaramillo-Garzon J.A.
Castellanos-Dominguez G.
Tipo de recurso:
Fecha de publicación:
2012
Institución:
Instituto Tecnológico Metropolitano
Repositorio:
Repositorio ITM
Idioma:
OAI Identifier:
oai:repositorio.itm.edu.co:20.500.12622/3881
Acceso en línea:
http://hdl.handle.net/20.500.12622/3881
Palabra clave:
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http://purl.org/coar/access_right/c_14cb
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spelling Ceballes-Serrano C.C.Garcia-Lopez S.Jaramillo-Garzon J.A.Castellanos-Dominguez G.2020-08-28T22:29:17Z2020-08-28T22:29:17Z2012http://hdl.handle.net/20.500.12622/388110.1109/STSIVA.2012.6340585Currently, there is a number of tools which allow analyzing information-based behavioral patterns; in the specific case of this article, the analysis of tendencies will be highlighted not only as a tool to predict the behavior of prices in order to measure and process financial market information but also, in a wider standpoint, to take tendencies as a tool to analyze the behavior of certain elements within a specific environment and period of time. Accordingly, the article is intended to set the theoretical, conceptual, and contextual basis necessary to perform the analysis of tendencies through the combination of a monitoring system and an observatory intended to organize, quantify, process, and use information as an indispensable element to implement innovation in the business field6340585Scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84870708211&doi=10.1109%2fSTSIVA.2012.6340585&partnerID=40&md5=fc92e5720d98c3ecc3ca78c2b4762706A strategy for classifying imbalanced data sets based on particle swarm optimizationSTSIVA 2012 - 17th Symposium of Image, Signal Processing, and Artificial Visioninfo:eu-repo/semantics/conferenceObjecthttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94f218222http://purl.org/coar/access_right/c_14cbPublication20.500.12622/3881oai:dspace-itm.metabuscador.org:20.500.12622/38812025-06-20 16:14:27.063metadata.onlyhttps://dspace-itm.metabuscador.orgRepositorio Instituto Tecnológico Metropolitano de Medellínbdigital@metabiblioteca.com
dc.title.spa.fl_str_mv A strategy for classifying imbalanced data sets based on particle swarm optimization
dc.title.alternative.none.fl_str_mv STSIVA 2012 - 17th Symposium of Image, Signal Processing, and Artificial Vision
title A strategy for classifying imbalanced data sets based on particle swarm optimization
spellingShingle A strategy for classifying imbalanced data sets based on particle swarm optimization
title_short A strategy for classifying imbalanced data sets based on particle swarm optimization
title_full A strategy for classifying imbalanced data sets based on particle swarm optimization
title_fullStr A strategy for classifying imbalanced data sets based on particle swarm optimization
title_full_unstemmed A strategy for classifying imbalanced data sets based on particle swarm optimization
title_sort A strategy for classifying imbalanced data sets based on particle swarm optimization
dc.creator.fl_str_mv Ceballes-Serrano C.C.
Garcia-Lopez S.
Jaramillo-Garzon J.A.
Castellanos-Dominguez G.
dc.contributor.author.none.fl_str_mv Ceballes-Serrano C.C.
Garcia-Lopez S.
Jaramillo-Garzon J.A.
Castellanos-Dominguez G.
description Currently, there is a number of tools which allow analyzing information-based behavioral patterns; in the specific case of this article, the analysis of tendencies will be highlighted not only as a tool to predict the behavior of prices in order to measure and process financial market information but also, in a wider standpoint, to take tendencies as a tool to analyze the behavior of certain elements within a specific environment and period of time. Accordingly, the article is intended to set the theoretical, conceptual, and contextual basis necessary to perform the analysis of tendencies through the combination of a monitoring system and an observatory intended to organize, quantify, process, and use information as an indispensable element to implement innovation in the business field
publishDate 2012
dc.date.issued.none.fl_str_mv 2012
dc.date.accessioned.none.fl_str_mv 2020-08-28T22:29:17Z
dc.date.available.none.fl_str_mv 2020-08-28T22:29:17Z
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
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dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12622/3881
dc.identifier.doi.none.fl_str_mv 10.1109/STSIVA.2012.6340585
url http://hdl.handle.net/20.500.12622/3881
identifier_str_mv 10.1109/STSIVA.2012.6340585
dc.relation.citationstartpage.none.fl_str_mv 218
dc.relation.citationendpage.none.fl_str_mv 222
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dc.source.none.fl_str_mv Scopus
institution Instituto Tecnológico Metropolitano
dc.source.uri.none.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-84870708211&doi=10.1109%2fSTSIVA.2012.6340585&partnerID=40&md5=fc92e5720d98c3ecc3ca78c2b4762706
repository.name.fl_str_mv Repositorio Instituto Tecnológico Metropolitano de Medellín
repository.mail.fl_str_mv bdigital@metabiblioteca.com
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