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International Journal of Uncertainty, Fuzziness and Knowldege-Based Systems(1)
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Data Stream Processing Method for Clustering of Trajectories
Conference ObjectAbstract: The constant advances in techniques for recording and collecting GPS trajectory information, the incPalabras claves:Buffer memory, cells, clusters, Data stream, TrajectoriesAutores:Estrebou C., Fernández-Bariviera A., GARY REYES ZAMBRANO, Lanzarini L.C.Fuentes:googlescopusFuzzy Cbkp_redit Risk Scoring Rules using FRvarPSO
ArticleAbstract: There is consensus that the best way for reducing insolvency situations in financial institutions isPalabras claves:Cbkp_redit risk, fuzzy rules, VarPSO (Variable Particle Swarm Optimization)Autores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopusFuzzy classification rules with frvarpso using various methods for obtaining fuzzy sets
ArticleAbstract: Having strategies capable of automatically generating classification rules is highly useful in any dPalabras claves:Classification rules, Data Mining, Fuzzy C-means, fuzzy rules, Index Terms—FRvarPSO (Fuzzy Rules variable Particle Swarm Optimization)Autores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopusGPS trajectory clustering method for decision making on intelligent transportation systems
Conference ObjectAbstract: Technological progress facilitates recording and collecting information on vehicles' GPS trajectoriePalabras claves:Clustering, GPS trajectories, Intelligent transportation systems, segmentationAutores:Fernández-Bariviera A., GARY REYES ZAMBRANO, Hasperué W., Lanzarini L.C.Fuentes:googlescopusExtraction of knowledge with population-based metaheuristics fuzzy rules applied to cbkp_redit risk
Conference ObjectAbstract: One of the goals of financial institutions is to reduce cbkp_redit risk. Consequently they must propPalabras claves:FR (Fuzzy Rules) cbkp_redit risk, VarPSO (Variable Particle Swarm Optimization)Autores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopusFRvarPSO as an Alternative to Measure Cbkp_redit Risk in Financial Institutions
Conference ObjectAbstract: When assessing potential clients and their cbkp_redit status, financial institutions must use methodPalabras claves:Cbkp_redit risk, Classification rules, FRvarPSO (fuzzy rules variable particle swarm optimization), fuzzy rulesAutores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopusFRvarPSO: A method for obtaining fuzzy classification rules using optimization Techniques
Conference ObjectAbstract: FRvarPSO is a new method for obtaining classification rules, which operates on nominal and/or fuzzyPalabras claves:Classification rules, Data Mining, fuzzy rules, Particle Swarm Optimization, varPSOAutores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopusDynamic grouping of vehicle trajectories
ArticleAbstract: Vehicular traffic volume in large cities has increased in recent years, causing mobility problems; tPalabras claves:Data stream, Dynamic clustering, vehicular trajectoriesAutores:Estrebou C., Fernández-Bariviera A., GARY REYES ZAMBRANO, Lanzarini L.C.Fuentes:googlescopusObtaining classification rules using LVQ +PSO: An application to cbkp_redit risk
Conference ObjectAbstract: Cbkp_redit risk management is a key element of financial corporations. One of the main problems thatPalabras claves:Cbkp_redit risk, Classification rules, Learning vector quantization (LVQ), Particle Swarm Optimization (PSO)Autores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo Santana, Villa-Monte A.Fuentes:googlescopusSimplifying cbkp_redit scoring rules using LVQ + PSO
ArticleAbstract: Purpose: One of the key elements in the banking industry relies on the appropriate selection of custPalabras claves:Cbkp_redit risk, classification, Learning vector quantization, Particle Swarm OptimizationAutores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo Santana, Villa-Monte A.Fuentes:googlescopus