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...
- 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
| 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 |
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