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Business Intelligence a Través de IBM SPSS Statistics

Business Intelligence a Través de IBM SPSS Statistics

          
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About the Book

La disponibilidad de grandes volúmenes de información y el uso generalizado de herramientas informáticas ha transformado el tratamiento de datos estableciendo un orden en las técnicas especializadas que se aplican y englobándolas en el proceso de extracción del conocimiento. que se enfoca hacia la inteligencia en los negocios. Estas técnicas persiguen el descubrimiento automático del conocimiento contenido en la información almacenada de modo ordenado en grandes bases de datos utilizando metodologías avanzadas de análisis de datos con la finalidad de optimizar las cifras de negocio. El contenido esencial del libro es ele siguiente: EL PROCESO DE EXTRACCI�N DEL CONOCIMIENTO EN LA INTELIGENCIA DE NEGOCIOS �CNICAS DE ANÁLISIS DE DATOS FASE DE ANÁLISIS DE DATOS EN LA INTELIGENCIA DE NEGOCIOS. T�CNICAS PREDICTIVAS CLASIFICACI�N DE LAS T�CNICAS DE LA DEPENDENCIA MODELO DE REGRESI�N LINEAL M�LTIPLE MODELOS DE REGRESI�N NO LINEALES INTRODUCCI�N A LAS SERIES TEMPORALES TENDENCIA DE UNA SERIE TEMPORAL VARIACIONES ESTACIONALES EN UNA SERIE TEMPORAL VARIACIONES CÍCLICAS EN UNA SERIE TEMPORAL PERIODOGRAMA Y DENSIDAD ESPECTRAL METODOLOGÍA DE BOX-JENKINS FASES DEL MODELADO Y TIPOLOGÍA DE MODELOS ARIMA(P, D, Q) MODELOS DE LA FUNCI�N DE TRANSFERENCIA MODELOS ARIMA(P, D, Q)(P, D, Q) ESTACIONALES ESTIMACI�N DE MODELOS ARIMA(P, D, Q)(P, D, Q) DIAGN�STICO, VALIDACI�N O CONTRASTE DE MODELOS ARIMA(P, D, Q)(P, D, Q) PREDICCI�N EN MODELOS ARIMA(P, D, Q)(P, D, Q) PREDICCION AUTOMATICA MODELOS PREDICTIVOS EN LA INTELIGENCIA DE NEGOCIOS ANÁLISIS DE LA VARIANZA SIMPLE ANOVA ANÁLISIS DE LA COVARIANZA SIMPLE ANCOVA MODELO DE REGRESI�N M�LTIPLE LINEAL GENERAL (GLM) MODELOS LINEALES MIXTOS MODELOS CON DATOS DE PANEL ANÁLISIS MULTIVARIANTE DE LA VARIANZA (MANOVA) Y DE LA COVARIANZA (MANCOVA) T�CNICAS DE CLASIFICACI�N Y SEGMENTACI�N EN LA INTELIGENCIA DE NEGOCIOS EL ANÁLISIS DISCRIMINANTE COMO T�CNICA DE CLASIFICACI�N Y SEGMENTACI�N LOS ÁRBOLES DE DECISI�N COMO T�CNICA PREDICTIVA DE CLASIFICACI�N Y SEGMENTACI�N EL ANÁLISIS CLUSTER COMO T�CNICA DE CLASIFICACI�N Y SEGMENTACI�N SEGMENTACI�N Y CLASIFICACI�N MEDIANTE MODELOS DE ELECCI�N DISCRETA MODELOS DE ELECCI�N DISCRETA BINARIA MODELO LINEAL DE PROBABILIDAD MODELOS PROBIT Y LOGIT MODELOS DE ELECCI�N M�LTIPLE MODELO LOGIT MULTINOMIAL MODELO PROBIT MULTINOMIAL


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Product Details
  • ISBN-13: 9781507624159
  • Publisher: Createspace Independent Publishing Platform
  • Publisher Imprint: Createspace Independent Publishing Platform
  • Height: 250 mm
  • No of Pages: 212
  • Series Title: Spanish
  • Weight: 37682 gr
  • ISBN-10: 1507624158
  • Publisher Date: 17 Dec 2018
  • Binding: Paperback
  • Language: Spanish
  • Returnable: N
  • Spine Width: 11 mm
  • Width: 175 mm


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