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:
Rights
License
http://purl.org/coar/access_right/c_14cb
Description
Summary: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