DATA MINING with SAS ENTERPRISE MINER through examples

0 valoración promedio
( 0 valoraciones por Goodreads )
 
9781490541792: DATA MINING with SAS ENTERPRISE MINER through examples

This book presents the most common techniques used in data mining in a simple and easy to understand through one of the most common software solutions from among those existing in the market, in particular, SAS ENTERPRISE MINER. Pursued as initial aim clarifying the applications concerning methods traditionally rated as difficult or dull. It seeks to present applications in data mining without having to manage high mathematical developments or complicated theoretical algorithms, which is the most common reason for the difficulties in understanding and implementation of this matter. Today data mining is used in different fields of science. Noteworthy applications in banking, and financial analysis of markets and trade, insurance and private health, in education, in industrial processes, in medicine, biology and bioengineering, telecommunications and in many other areas. Essentials to get started in data mining, regardless of the field in which it is applied, is the understanding of own concepts, task that does not require nor much less the domain of scientific apparatus involved in the matter. Later, when either necessary operative advanced, computer programs allow the results without having to decipher the mathematical development of the algorithms that are under the procedures. This book describes the simplest possible data mining concepts, so that they are understandable by readers with different training. The chapters begin describing the techniques in affordable language and then presenting the way to treat them through practical applications. An important part of each chapter are case studies completely resolved, including the interpretation of the results, which is precisely the most important thing in any matter with which they work. The book begins with an introduction to mining data and its phases. In successive chapters develop the initial phases (selection of information, data exploration, data cleansing, transformation of data, etc.). Subsequently elaborates on specific data mining, both predictive and descriptive techniques. Predictive techniques covers all models of regression, discriminant analysis, decision trees, neural networks and other techniques based on models. The descriptive techniques vary dimension reduction techniques, techniques of classification and segmentation (clustering), and exploratory data analysis techniques.

"Sinopsis" puede pertenecer a otra edición de este libro.

Los mejores resultados en AbeBooks

1.

Lopez, Cesar Perez
ISBN 10: 1490541799 ISBN 13: 9781490541792
Nuevos Cantidad: > 20
Impresión bajo demanda
Librería
Pbshop
(Wood Dale, IL, Estados Unidos de America)
Valoración
[?]

Descripción 2013. PAP. Estado de conservación: New. New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería IP-9781490541792

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 20,53
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,40
A Estados Unidos de America
Destinos, gastos y plazos de envío

2.

Cesar Perez Lopez
Editorial: Createspace, United States (2013)
ISBN 10: 1490541799 ISBN 13: 9781490541792
Nuevos Paperback Cantidad: 10
Impresión bajo demanda
Librería
The Book Depository
(London, Reino Unido)
Valoración
[?]

Descripción Createspace, United States, 2013. Paperback. Estado de conservación: New. Language: English . Brand New Book ***** Print on Demand *****.This book presents the most common techniques used in data mining in a simple and easy to understand through one of the most common software solutions from among those existing in the market, in particular, SAS ENTERPRISE MINER. Pursued as initial aim clarifying the applications concerning methods traditionally rated as difficult or dull. It seeks to present applications in data mining without having to manage high mathematical developments or complicated theoretical algorithms, which is the most common reason for the difficulties in understanding and implementation of this matter. Today data mining is used in different fields of science. Noteworthy applications in banking, and financial analysis of markets and trade, insurance and private health, in education, in industrial processes, in medicine, biology and bioengineering, telecommunications and in many other areas. Essentials to get started in data mining, regardless of the field in which it is applied, is the understanding of own concepts, task that does not require nor much less the domain of scientific apparatus involved in the matter. Later, when either necessary operative advanced, computer programs allow the results without having to decipher the mathematical development of the algorithms that are under the procedures. This book describes the simplest possible data mining concepts, so that they are understandable by readers with different training. The chapters begin describing the techniques in affordable language and then presenting the way to treat them through practical applications. An important part of each chapter are case studies completely resolved, including the interpretation of the results, which is precisely the most important thing in any matter with which they work. The book begins with an introduction to mining data and its phases. In successive chapters develop the initial phases (selection of information, data exploration, data cleansing, transformation of data, etc.). Subsequently elaborates on specific data mining, both predictive and descriptive techniques. Predictive techniques covers all models of regression, discriminant analysis, decision trees, neural networks and other techniques based on models. The descriptive techniques vary dimension reduction techniques, techniques of classification and segmentation (clustering), and exploratory data analysis techniques. Nº de ref. de la librería APC9781490541792

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 27,35
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

3.

Cesar Perez Lopez
Editorial: Createspace, United States (2013)
ISBN 10: 1490541799 ISBN 13: 9781490541792
Nuevos Paperback Cantidad: 10
Impresión bajo demanda
Librería
The Book Depository US
(London, Reino Unido)
Valoración
[?]

Descripción Createspace, United States, 2013. Paperback. Estado de conservación: New. Language: English . Brand New Book ***** Print on Demand *****. This book presents the most common techniques used in data mining in a simple and easy to understand through one of the most common software solutions from among those existing in the market, in particular, SAS ENTERPRISE MINER. Pursued as initial aim clarifying the applications concerning methods traditionally rated as difficult or dull. It seeks to present applications in data mining without having to manage high mathematical developments or complicated theoretical algorithms, which is the most common reason for the difficulties in understanding and implementation of this matter. Today data mining is used in different fields of science. Noteworthy applications in banking, and financial analysis of markets and trade, insurance and private health, in education, in industrial processes, in medicine, biology and bioengineering, telecommunications and in many other areas. Essentials to get started in data mining, regardless of the field in which it is applied, is the understanding of own concepts, task that does not require nor much less the domain of scientific apparatus involved in the matter. Later, when either necessary operative advanced, computer programs allow the results without having to decipher the mathematical development of the algorithms that are under the procedures. This book describes the simplest possible data mining concepts, so that they are understandable by readers with different training. The chapters begin describing the techniques in affordable language and then presenting the way to treat them through practical applications. An important part of each chapter are case studies completely resolved, including the interpretation of the results, which is precisely the most important thing in any matter with which they work. The book begins with an introduction to mining data and its phases. In successive chapters develop the initial phases (selection of information, data exploration, data cleansing, transformation of data, etc.). Subsequently elaborates on specific data mining, both predictive and descriptive techniques. Predictive techniques covers all models of regression, discriminant analysis, decision trees, neural networks and other techniques based on models. The descriptive techniques vary dimension reduction techniques, techniques of classification and segmentation (clustering), and exploratory data analysis techniques. Nº de ref. de la librería APC9781490541792

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 27,49
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

4.

Lopez, Cesar Perez
ISBN 10: 1490541799 ISBN 13: 9781490541792
Nuevos Cantidad: > 20
Impresión bajo demanda
Librería
Books2Anywhere
(Fairford, GLOS, Reino Unido)
Valoración
[?]

Descripción 2013. PAP. Estado de conservación: New. New Book. Delivered from our US warehouse in 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND.Established seller since 2000. Nº de ref. de la librería IP-9781490541792

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 21,12
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 10,21
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

5.

Lopez, Cesar Perez
Editorial: CreateSpace Independent Publishing Platform
ISBN 10: 1490541799 ISBN 13: 9781490541792
Nuevos PAPERBACK Cantidad: > 20
Librería
Russell Books
(Victoria, BC, Canada)
Valoración
[?]

Descripción CreateSpace Independent Publishing Platform. PAPERBACK. Estado de conservación: New. 1490541799 Special order direct from the distributor. Nº de ref. de la librería ING9781490541792

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 25,61
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 5,96
De Canada a Estados Unidos de America
Destinos, gastos y plazos de envío

6.

Cesar Perez Lopez
Editorial: CreateSpace Independent Publishing Platform
ISBN 10: 1490541799 ISBN 13: 9781490541792
Nuevos Paperback Cantidad: > 20
Impresión bajo demanda
Librería
BuySomeBooks
(Las Vegas, NV, Estados Unidos de America)
Valoración
[?]

Descripción CreateSpace Independent Publishing Platform. Paperback. Estado de conservación: New. This item is printed on demand. 356 pages. Dimensions: 10.0in. x 8.0in. x 0.8in.This book presents the most common techniques used in data mining in a simple and easy to understand through one of the most common software solutions from among those existing in the market, in particular, SAS ENTERPRISE MINER. Pursued as initial aim clarifying the applications concerning methods traditionally rated as difficult or dull. It seeks to present applications in data mining without having to manage high mathematical developments or complicated theoretical algorithms, which is the most common reason for the difficulties in understanding and implementation of this matter. Today data mining is used in different fields of science. Noteworthy applications in banking, and financial analysis of markets and trade, insurance and private health, in education, in industrial processes, in medicine, biology and bioengineering, telecommunications and in many other areas. Essentials to get started in data mining, regardless of the field in which it is applied, is the understanding of own concepts, task that does not require nor much less the domain of scientific apparatus involved in the matter. Later, when either necessary operative advanced, computer programs allow the results without having to decipher the mathematical development of the algorithms that are under the procedures. This book describes the simplest possible data mining concepts, so that they are understandable by readers with different training. The chapters begin describing the techniques in affordable language and then presenting the way to treat them through practical applications. An important part of each chapter are case studies completely resolved, including the interpretation of the results, which is precisely the most important thing in any matter with which they work. The book begins with an introduction to mining data and its phases. In successive chapters develop the initial phases (selection of information, data exploration, data cleansing, transformation of data, etc. ). Subsequently elaborates on specific data mining, both predictive and descriptive techniques. Predictive techniques covers all models of regression, discriminant analysis, decision trees, neural networks and other techniques based on models. The descriptive techniques vary dimension reduction techniques, techniques of classification and segmentation (clustering), and exploratory data analysis techniques. This item ships from La Vergne,TN. Paperback. Nº de ref. de la librería 9781490541792

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 35,93
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
A Estados Unidos de America
Destinos, gastos y plazos de envío