Data Mining

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Data Mining La minería de datos (DM, Data Mining) consiste en la extracción de información que reside de manera implícita en los datos. Dicha información era previamente desconocida y podrá resultar útil para algún proceso. En otras palabras, la minería de datos prepara, sondea y explora los datos para sacar la información oculta en ellos.

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Page 1: Data Mining

Data Mining

La minería de datos (DM, Data Mining) consiste en la extracción de información que reside de

manera implícita en los datos. Dicha información era previamente desconocida y podrá resultar útil para algún proceso. En otras palabras, la

minería de datos prepara, sondea y explora los datos para sacar la información oculta en ellos.

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Business Intelligence• Descubriendo Información Oculta • Data Mining, la extracción de información

oculta y predecible de grandes bases de datos, es una poderosa tecnología nueva con gran potencial para ayudar a las compañías a concentrarse en la información más importante de sus Bases de Información (Data Warehouse).

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• Las bases de la minería de datos se encuentran en la inteligencia artificial y en el análisis estadístico. Mediante los modelos extraídos utilizando técnicas de minería de datos se aborda la solución a problemas de predicción, clasificación y segmentación.

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• En este sentido cabe destacar los esfuerzos del Data Mining Group, que está estandarizando el lenguaje PMML (Predictive Model Markup Language), de manera que los modelos de minería de datos sean interoperables en distintas plataformas, con independencia del sistema con el que han sido construidos.

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Una arquitectura para Data Mining

• Para aplicar mejor estas técnicas avanzadas, éstas deben estar totalmente integradas con el data warehouse así como con herramientas flexibles e interactivas para el análisis de negocios. Varias herramientas de Data Mining actualmente operan fuera del warehouse, requiriendo pasos extra para extraer, importar y analizar los datos.

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1 Chapter 1. Introduction Motivation: Why data mining? What is data mining? Data Mining: On what kind of data? Data mining functionality Major issues in.

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CS590D: Data Mining Chris Clifton - Purdue University · Data Mining: Classification Schemes • General functionality – Descriptive data mining – Predictive data mining ... –

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Introduction to Data Mining - homepages.math.uic.eduhomepages.math.uic.edu/~jyang06/stat486/R/DataMining_JYang2014.pdfFundamentals of Data Mining Typical Data Mining Tasks Data Mining

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Data Mining: What is Data Mining?

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Introduction to Introduction to Data Mining Data Mining

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Data Mining Introduction to Data Mining

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