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HPにバナーやリンクを貼って下さった方は
コチラに報告してくれると嬉しいデスｖ
塊愛を語るのもOK★

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[Res] [inf] :: ,ビ,r,G,X ::
find out here MAIL HOME
ojiw
 Heya just wanted to give you a brief heads up and let you know a few of the pictures aren't loading properly.
I'm not sure why but I think its a linking issue. I've tried
it in two different browsers and both show the same outcome.

+++ 2024/09/25/10:29

[Res] [inf] :: ,ビ,r,G,X ::
http://gotanproject.net/node/23918505?------WebKitFormBoundary2VZMGxY94fvx1Lgx%0D%0AContent-Disposition:%20form-data;%20name=%22title%22%0D%0A%0D%0AProceso%20de%20Miner%C3%ADa%20de%20Datos:%20Descubriendo%20Conocimientos%20en%20el%20Mar%20de%20Datos%0D%0A------WebKitFormBoundary2VZMGxY94fvx1Lgx%0D%0AContent-Disposition:%20form-data;%20name=%22body%22%0D%0A%0D%0AEl%20proceso%20de%20miner%C3%ADa%20de%20datos%20es%20una%20metodolog%C3%ADa%20sistem%C3%A1tica%20que%20puede%20hace%20uso%20de%20para%20descubrir%20patrones,%20tendencias%20y%20relaciones%20ocultas%20en%20grandes%20conjuntos%20de%20conocimiento.%20Este%20proceso,%20tambi%C3%A9n%20reconocido%20como%20CRISP-DM%20(Cross-Industry%20Standard%20Process%20for%20Data%20Mining),%20consta%20de%20varias%20etapas%20que%20gu%C3%ADan%20el%20an%C3%A1lisis%20y%20la%20obtenci%C3%B3n%20de%20conocimientos%20valiosos%20a%20partir%20de%20la%20informaci%C3%B3n.%20A%20continuaci%C3%B3n,%20exploraremos%20las%20diferentes%20etapas%20del%20medios%20de%20miner%C3%ADa%20de%20informaci%C3%B3n:%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A1.%20Comprensi%C3%B3n%20del%20Negocio:%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0ALa%20primera%20etapa%20del%20proceso%20implica%20comprender%20los%20metas%20del%20negocio%20y%20definir%20el%20problema%20que%20se%20quiere%20comprender%20con%20la%20miner%C3%ADa%20de%20informaci%C3%B3n.%20En%20esta%20etapa,%20se%20identifican%20las%20preguntas%20clave%20que%20puede%20desean%20responder%20y%20se%20establecen%20los%20criterios%20para%20poder%20el%20%C3%A9xito%20del%20proyecto.%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A2.%20Comprensi%C3%B3n%20de%20los%20Datos:%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0AEn%20esta%20parte,%20se%20realiza%20una%20exploraci%C3%B3n%20detallada%20de%20la%20informaci%C3%B3n%20disponibles.%20Se%20analiza%20el%20est%C3%A1ndar%20de%20los%20datos,%20se%20identifican%20valores%20faltantes%20o%20errores,%20y%20se%20seleccionan%20los%20atributos%20mayor%20relevantes%20para%20el%20an%C3%A1lisis.%20Esta%20etapa%20ayuda%20a%20tener%20una%20visi%C3%B3n%20completa%20de%20los%20datos%20y%20a%20establecer%20su%20idoneidad%20para%20poder%20el%20proceso%20de%20miner%C3%ADa.%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A3.%20Preparaci%C3%B3n%20de%20los%20Datos:%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A%3Cspan%20style=%22font-weight:%20bold;%22%3EUna%20vez%20comprendidos%20los%3C/span%3E%20datos,%20se%20procede%20a%20prepararlos%20para%20poder%20el%20an%C3%A1lisis.%20Esto%20implica%20lavar%20la%20informaci%C3%B3n,%20eliminar%20duplicados,%20rellenar%20valores%20faltantes%20y%20transformarlos%20en%20un%20formato%20apropiado%20para%20la%20miner%C3%ADa.%20Esta%20etapa%20es%20importante%20para%20asegurar%20que%20los%20datos%20sean%20confiables%20y%20est%C3%A9n%20listos%20para%20el%20evaluaci%C3%B3n.%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A4.%20Modelado%20de%20Datos:%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A%3Cspan%20style=%22font-style:%20italic;%22%3EEn%20esta%20etapa,%20se%20aplican%3C/span%3E%20diversas%20t%C3%A9cnicas%20de%20miner%C3%ADa%20de%20conocimiento%20para%20encontrar%20patrones%20y%20relaciones%20en%20los%20datos.%20Se%20utilizan%20algoritmos%20de%20clustering,%20clasificaci%C3%B3n,%20regresi%C3%B3n%20y%20otras%20estrategias%20para%20crear%20modelos%20que%20representen%20los%20patrones%20encontrados%20en%20los%20datos.%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A5.%20Evaluaci%C3%B3n%20del%20Modelo:%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A%3Cspan%20style=%22font-weight:%20900;%22%3EUna%20vez%20que%20puede%20han%20creado%3C/span%3E%20los%20modelos,%20se%20procede%20a%20calibrar%20su%20eficiencia.%20Se%20utilizan%20m%C3%A9tricas%20y%20m%C3%A9todos%20de%20validaci%C3%B3n%20para%20medir%20la%20precisi%C3%B3n%20y%20eficacia%20de%20los%20modelos%20en%20la%20predicci%C3%B3n%20y%20clasificaci%C3%B3n%20de%20conocimiento.%20Esta%20etapa%20asistencia%20a%20elegir%20el%20modelo%20extra%20apropiado%20para%20el%20problema%20en%20cuesti%C3%B3n.%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A6.%20Implementaci%C3%B3n%20y%20Uso:%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0AUna%20vez%20que%20el%20maniqu%C3%AD%20ha%20sido%20evaluado%20y%20validado,%20se%20implementa%20en%20el%20ambiente%20de%20producci%C3%B3n%20para%20su%20utilizaci%C3%B3n%20en%20la%20toma%20de%20selecciones.%20El%20modelo%20de%20miner%C3%ADa%20de%20conocimiento%20se%20aplica%20a%20nuevos%20informaci%C3%B3n%20para%20adquirir%20predicciones%20y%20conocimientos%20en%20tiempo%20actual.%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A%3Cspan%20style=%22font-weight:%20600;%22%3E7.%20Monitoreo%20y%20Mantenimiento:%3C/span%3E%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0A%3Cbr%3E%0D%0A%3Cbr%3E%0D%0A%0D%0AE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ojiw
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+++ 2024/09/25/10:29

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ojiw
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ojiw
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