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La miner�a de datos o Data Mining puede definirse inicialmente como un proceso de descubrimiento de nuevas y significativas relaciones, patrones y tendencias al examinar grandes cantidades de datos. La disponibilidad de grandes vol�menes de informaci�n y el uso generalizado de herramientas inform�ticas ha transformado el an�lisis de datos orient�ndolo hacia determinadas t�cnicas especializadas englobadas bajo el nombre de miner�a de datos o Data Mining. Las t�cnicas de miner�a de datos persiguen el descubrimiento autom�tico del conocimiento contenido en la informaci�n almacenada de modo ordenado en grandes bases de datos. Estas t�cnicas tienen como objetivo descubrir patrones, perfiles y tendencias a trav�s del an�lisis de los datos utilizando t�cnicas avanzadas como muestreo, an�lisis exploratorio de datos, t�cnicas de reducci�n de la dimensi�n, t�cnicas de modelizaci�n avanzada, clasificaci�n, segmentaci�n, predicci�n, reconocimiento de patrones y otras t�cnicas avanzadas de an�lisis de datos. Este libro trata la mayor�a de estas t�cnicas desde el punto de vista pr�ctico utilizando el software IBM SPSS MODELER (IBM SPSS CLEMENTINE), uno de los m�s adecuados del mercado para estas tareas.
- Sales Rank: #3968963 in Books
- Published on: 2012-12-26
- Original language: Spanish
- Number of items: 1
- Dimensions: 11.00" h x .79" w x 8.50" l, 1.79 pounds
- Binding: Paperback
- 350 pages
Most helpful customer reviews
0 of 0 people found the following review helpful.
Four Stars
By Genove Gneco Gross
Muy buen libro para empezar a usar este programa.
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