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First Steps In Data Mining With Sas Enterprise Miner

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First Steps In Data Mining With Sas Enterprise Miner

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Author : Martha Abell
language : en
Publisher: CreateSpace
Release Date : 2014-09-06

First Steps In Data Mining With Sas Enterprise Miner written by Martha Abell and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-06 with categories.

SAS Enterprise Miner streamlines the data mining process to create highly accurate predictive and descriptive models based on analysis of vast amounts of data from across an enterprise. Data mining is applicable in a variety of industries and provides methodologies for such diverse business problems as fraud detection, householding, customer retention and attrition, database marketing, market segmentation, risk analysis, affinity analysis, customer satisfaction, bankruptcy prediction, and portfolio analysis. In SAS Enterprise Miner, the data mining process has the following (SEMMA) steps: Sample the data by creating one or more data sets. The sample should be large enough to contain significant information, yet small enough to process. This step includes the use of data preparation tools for data import, merge, append, and filter, as well as statistical sampling techniques. Explore the data by searching for relationships, trends, and anomalies in order to gain understanding and ideas. This step includes the use of tools for statistical reporting and graphical exploration, variable selection methods, and variable clustering. Modify the data by creating, selecting, and transforming the variables to focus the model selection process. This step includes the use of tools for defining transformations, missing value handling, value recoding, and interactive binning. Model the data by using the analytical tools to train a statistical or machine learning model to reliably predict a desired outcome. This step includes the use of techniques such as linear and logistic regression, decision trees, neural networks, partial least squares, LARS and LASSO, nearest neighbor, and importing models defined by other users or even outside SAS Enterprise Miner. Assess the data by evaluating the usefulness and reliability of the findings from the data mining process. This step includes the use of tools for comparing models and computing new fit statistics, cutoff analysis, decision support, report generation, and score code management. You might or might not include all of the SEMMA steps in an analysis, and it might be necessary to repeat one or more of the steps several times before you are satisfied with the results. After you have completed the SEMMA steps, you can apply a scoring formula from one or more champion models to new data that might or might not contain the target variable. Scoring new data that is not available at the time of model training is the goal of most data mining problems. Furthermore, advanced visualization tools enable you to quickly and easily examine large amounts of data in multidimensional histograms and to graphically compare modeling results.

Getting Started With Sas Enterprise Miner 6 1

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Author : SAS Institute
language : en
Publisher: Sas Inst
Release Date : 2009

Getting Started With Sas Enterprise Miner 6 1 written by SAS Institute and has been published by Sas Inst this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.

Introduces the core functionality of SAS Enterprise Miner and shows how to perform basic data-mining tasks. Provides step-by-step examples that create a complete process-flow diagram, including graphic results.

Getting Started With Sas Enterprise Miner 12 3

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Author : SAS Institute
language : en
Publisher:
Release Date : 2014-05-14

Getting Started With Sas Enterprise Miner 12 3 written by SAS Institute and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-14 with COMPUTERS categories.

Introduces the core functionality of SAS Enterprise Miner 12.3 on SAS 9.4 and shows how to perform basic data-mining tasks. Provides step-by-step examples that create a complete process-flow diagram including graphic results. Introduces the core functionality of SAS Enterprise Miner 12.3 on SAS 9.4 and shows how to perform basic data-mining tasks. Provides step-by-step examples that create a complete process-flow diagram including graphic results.

Getting Started With Sas Enterprise Miner 12 3

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Author : SAS Institute
language : en
Publisher:
Release Date : 2013-07

Data Mining Using Sas Enterprise Miner

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Author : Randall Matignon
language : en
Publisher: John Wiley & Sons
Release Date : 2007-08-03

Data Mining Using Sas Enterprise Miner written by Randall Matignon and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-03 with Mathematics categories.

The most thorough and up-to-date introduction to data mining techniques using SAS Enterprise Miner. The Sample, Explore, Modify, Model, and Assess (SEMMA) methodology of SAS Enterprise Miner is an extremely valuable analytical tool for making critical business and marketing decisions. Until now, there has been no single, authoritative book that explores every node relationship and pattern that is a part of the Enterprise Miner software with regard to SEMMA design and data mining analysis. Data Mining Using SAS Enterprise Miner introduces readers to a wide variety of data mining techniques and explains the purpose of-and reasoning behind-every node that is a part of the Enterprise Miner software. Each chapter begins with a short introduction to the assortment of statistics that is generated from the various nodes in SAS Enterprise Miner v4.3, followed by detailed explanations of configuration settings that are located within each node. Features of the book include: The exploration of node relationships and patterns using data from an assortment of computations, charts, and graphs commonly used in SAS procedures A step-by-step approach to each node discussion, along with an assortment of illustrations that acquaint the reader with the SAS Enterprise Miner working environment Descriptive detail of the powerful Score node and associated SAS code, which showcases the important of managing, editing, executing, and creating custom-designed Score code for the benefit of fair and comprehensive business decision-making Complete coverage of the wide variety of statistical techniques that can be performed using the SEMMA nodes An accompanying Web site that provides downloadable Score code, training code, and data sets for further implementation, manipulation, and interpretation as well as SAS/IML software programming code This book is a well-crafted study guide on the various methods employed to randomly sample, partition, graph, transform, filter, impute, replace, cluster, and process data as well as interactively group and iteratively process data while performing a wide variety of modeling techniques within the process flow of the SAS Enterprise Miner software. Data Mining Using SAS Enterprise Miner is suitable as a supplemental text for advanced undergraduate and graduate students of statistics and computer science and is also an invaluable, all-encompassing guide to data mining for novice statisticians and experts alike.

Getting Started With Sas Enterprise Miner 7 1

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Author : Sas Institute
language : en
Publisher:
Release Date : 2011-12

Getting Started With Sas Enterprise Miner 7 1 written by Sas Institute and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12 with categories.

Getting Started With Sas Enterprise Miner 5 2

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Author : SAS Institute
language : en
Publisher: SAS Institute
Release Date : 2006

Getting Started With Sas Enterprise Miner 5 2 written by SAS Institute and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.

SAS Enterprise Miner 5.2 is the SAS data mining solution that addresses the entire data mining process using an intuitive Java point-and-click interface. This guide introduces you to the core functionality of SAS Enterprise Miner and shows you how to perform basic data mining tasks. You will learn how to use the graphical user interface (GUI) tools to create and manage process flow diagrams and projects, and to export mining results for reporting and integration with other SAS software. The data mining tasks you will learn include sampling, exploring, modifying, modeling, and assessing data in order to create and refine predictive models. Getting Started with Enterprise Miner 5.2 provides step-by-step examples that create a complete process flow diagram, including graphic results. This title is also available online. This title is intended for statisticians, quantitative analysts, and business technologists who want to learn to use the data mining capabilities of SAS Enterprise Miner.

Getting Started With Sas Enterprise Miner 12 1

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Author : SAS Institute
language : en
Publisher:
Release Date : 2012

Getting Started With Sas Enterprise Miner 12 1 written by SAS Institute and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Business categories.

Getting Started With Sas Enterprise Miner 13 1

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Author : SAS Institute
language : en
Publisher:
Release Date : 2013-12

Getting Started With Sas Enterprise Miner 13 1 written by SAS Institute and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12 with Mathematics categories.

Introduces the core functionality of SAS Enterprise Miner and shows how to perform basic data mining tasks. Provides step-by-step examples that create a complete process-flow diagram including graphic results. Introduces the core functionality of SAS Enterprise Miner and shows how to perform basic data mining tasks. Provides step-by-step examples that create a complete process-flow diagram including graphic results.

Getting Started With Sas Enterprise Miner 12 1

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Author : SAS Institute
language : en
Publisher: SAS Institute
Release Date : 2014-05-14

Getting Started With Sas Enterprise Miner 12 1 written by SAS Institute and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-14 with Business categories.

First Steps In Data Mining With Sas Enterprise Miner

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