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Mineria de Datos. Tecnicas de Segmentacion

Mineria de Datos. Tecnicas de Segmentacion

          
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About the Book

La segmentación puede definirse como el proceso de dividir un todo (población, consumidores, etc.) en grupos uniformes más pequeños que tengan características semejantes denominados segmentos. La segmentación suele realizarse según los valores de determinadas variables que son los que fijan sus características. La clasificación inicial de las técnicas de segmentación distingue entre técnicas predictivas, en las que las variables que intervienen en el proceso pueden clasificarse inicialmente en dependientes e independientes y técnicas descriptivas, en las que todas las variables tienen inicialmente el mismo estatus. Entre las técnicas predictivas de segmentación se incluyen todas las técnicas de segmentación en las que subyace un modelo (modelos de elección discreta, análisis discriminante, árboles de decisión, redes neuronales, etc.). Entre las técnicas descriptivas destacan las técnicas de reducción de la dimensión, el análisis de correspondencias y el análisis clúster. Las técnicas de segmentación también se denominan técnicas de clasificación ya que permiten extraer perfiles de comportamiento o clases, siendo el objetivo, en el caso de las técnicas predictivas, construir un modelo que permita clasificar cualquier nuevo dato en una de las clases. Todas estas técnicas se tratan en este libro y se ilustran con ejemplos prácticos resueltos con el software más actual de minería de datos como SAS ENTERPRISE MINER, IBM SPSS MODELER, IBM SPSS STATISTICS y SAS.


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Product Details
  • ISBN-13: 9781494251444
  • Publisher: Createspace Independent Publishing Platform
  • Publisher Imprint: Createspace Independent Publishing Platform
  • Height: 254 mm
  • No of Pages: 300
  • Series Title: Spanish
  • Weight: 598 gr
  • ISBN-10: 1494251442
  • Publisher Date: 23 Nov 2013
  • Binding: Paperback
  • Language: Spanish
  • Returnable: N
  • Spine Width: 16 mm
  • Width: 203 mm


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