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A strategy for classifying imbalanced data sets based on particle swarm optimization
dc.contributor.author | Ceballes-Serrano C.C. | |
dc.contributor.author | Garcia-Lopez S. | |
dc.contributor.author | Jaramillo-Garzon J.A. | |
dc.contributor.author | Castellanos-Dominguez G. | |
dc.date.accessioned | 2020-08-28T22:29:17Z | |
dc.date.available | 2020-08-28T22:29:17Z | |
dc.date.issued | 2012 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12622/3881 | |
dc.description.abstract | 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 | eng |
dc.source | Scopus | |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84870708211&doi=10.1109%2fSTSIVA.2012.6340585&partnerID=40&md5=fc92e5720d98c3ecc3ca78c2b4762706 | |
dc.title | A strategy for classifying imbalanced data sets based on particle swarm optimization | spa |
dc.title.alternative | STSIVA 2012 - 17th Symposium of Image, Signal Processing, and Artificial Vision | |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.rights.accessrights | info:eu-repo/semantics/closedAccess | |
dc.identifier.doi | 10.1109/STSIVA.2012.6340585 | |
dc.description.edition | 6340585 | |
dc.relation.citationstartpage | 218 | |
dc.relation.citationendpage | 222 | |
dc.type.version | info:eu-repo/semantics/publishedVersion |
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