Data Mining Using Sas Enterprise Miner

Author : Randall Matignon
Publisher : John Wiley & Sons
Page : 584 pages
File Size : 54,5 Mb
Release : 2007-08-03
Category : Mathematics
ISBN : 9780470149010

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Data Mining Using SAS Enterprise Miner by Randall Matignon Pdf

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.

Author : Patricia B. Cerrito
Publisher : SAS Press
Page : 0 pages
File Size : 51,7 Mb
Release : 2006
Category : Data mining
ISBN : 1590478290

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Introduction to Data Mining Using SAS Enterprise Miner by Patricia B. Cerrito Pdf

"This manual provides a general, practical introduction to data mining using SAS Enterprise Miner and SAS Text Miner software"--Preface.

Author : SAS Institute
Publisher : Sas Inst
Page : 127 pages
File Size : 50,6 Mb
Release : 2003
Category : Computers
ISBN : 1590471903

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Data Mining Using SAS Enterprise Miner by SAS Institute Pdf

Author : Kattamuri S. Sarma
Publisher : SAS Institute
Page : 574 pages
File Size : 54,5 Mb
Release : 2017-07-20
Category : Computers
ISBN : 9781635260403

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Predictive Modeling with SAS Enterprise Miner by Kattamuri S. Sarma Pdf

« Written for business analysts, data scientists, statisticians, students, predictive modelers, and data miners, this comprehensive text provides examples that will strengthen your understanding of the essential concepts and methods of predictive modeling. »--

Author : Barry De Ville
Publisher : SAS Press
Page : 224 pages
File Size : 52,7 Mb
Release : 2006
Category : Business & Economics
ISBN : 1590475674

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Decision Trees for Business Intelligence and Data Mining by Barry De Ville Pdf

This example-driven guide illustrates the application and operation of decision trees in data mining, business intelligence, business analytics, prediction, and knowledge discovery. It explains in detail the use of decision trees as a data mining technique and how this technique complements and supplements other business intelligence applications.

Author : SAS Publishing
Publisher : Unknown
Page : 128 pages
File Size : 50,6 Mb
Release : 2001-03
Category : Electronic
ISBN : 1590477383

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Unknown MIR Title by SAS Publishing Pdf

Author : Olivia Parr-Rud
Publisher : SAS Institute
Page : 182 pages
File Size : 52,5 Mb
Release : 2014-10
Category : Computers
ISBN : 9781629593272

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Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner by Olivia Parr-Rud Pdf

This tutorial for data analysts new to SAS Enterprise Guide and SAS Enterprise Miner provides valuable experience using powerful statistical software to complete the kinds of business analytics common to most industries. This beginnner's guide with clear, illustrated, step-by-step instructions will lead you through examples based on business case studies. You will formulate the business objective, manage the data, and perform analyses that you can use to optimize marketing, risk, and customer relationship management, as well as business processes and human resources. Topics include descriptive analysis, predictive modeling and analytics, customer segmentation, market analysis, share-of-wallet analysis, penetration analysis, and business intelligence. --

Author : Robert Nisbet,Gary Miner,Ken Yale
Publisher : Elsevier
Page : 822 pages
File Size : 52,6 Mb
Release : 2017-11-09
Category : Mathematics
ISBN : 9780124166455

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Handbook of Statistical Analysis and Data Mining Applications by Robert Nisbet,Gary Miner,Ken Yale Pdf

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. Includes input by practitioners for practitioners Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models Contains practical advice from successful real-world implementations Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

Author : Randall S. Collica
Publisher : SAS Institute
Page : 356 pages
File Size : 44,5 Mb
Release : 2017-03-23
Category : Business & Economics
ISBN : 9781629605296

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Customer Segmentation and Clustering Using SAS Enterprise Miner, Third Edition by Randall S. Collica Pdf

A working guide that uses real-world data, this step-by-step resource will show you how to segment customers more intelligently and achieve the one-to-one customer relationship that your business needs. --

Author : SAS Institute
Publisher : Sas Inst
Page : 76 pages
File Size : 55,8 Mb
Release : 2009
Category : Computers
ISBN : 1599943212

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Getting Started with SAS Enterprise Miner 6.1 by SAS Institute Pdf

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.

Author : George Fernandez
Publisher : CRC Press
Page : 477 pages
File Size : 55,6 Mb
Release : 2010-06-18
Category : Business & Economics
ISBN : 9781439810767

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Statistical Data Mining Using SAS Applications by George Fernandez Pdf

Statistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features of user-friendly data mining SAS tools. Integrating the statistical and graphical analysis tools available in SAS systems, the book provides complete statistical data mining solutions without writing SAS program co

Author : SAS Institute
Publisher : Unknown
Page : 82 pages
File Size : 41,9 Mb
Release : 2013-12
Category : Mathematics
ISBN : 1612905528

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Getting Started with SAS Enterprise Miner 13. 1 by SAS Institute Pdf

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.

Author : Barry De Ville,Padraic Neville
Publisher : Unknown
Page : 268 pages
File Size : 42,5 Mb
Release : 2019-07-03
Category : Computers
ISBN : 164295313X

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Decision Trees for Analytics Using SAS Enterprise Miner by Barry De Ville,Padraic Neville Pdf

Decision Trees for Analytics Using SAS Enterprise Miner is the most comprehensive treatment of decision tree theory, use, and applications available in one easy-to-access place. This book illustrates the application and operation of decision trees in business intelligence, data mining, business analytics, prediction, and knowledge discovery. It explains in detail the use of decision trees as a data mining technique and how this technique complements and supplements data mining approaches such as regression, as well as other business intelligence applications that incorporate tabular reports, OLAP, or multidimensional cubes. An expanded and enhanced release of Decision Trees for Business Intelligence and Data Mining Using SAS Enterprise Miner, this book adds up-to-date treatments of boosting and high-performance forest approaches and rule induction. There is a dedicated section on the most recent findings related to bias reduction in variable selection. It provides an exhaustive treatment of the end-to-end process of decision tree construction and the respective considerations and algorithms, and it includes discussions of key issues in decision tree practice. Analysts who have an introductory understanding of data mining and who are looking for a more advanced, in-depth look at the theory and methods of a decision tree approach to business intelligence and data mining will benefit from this book.

Author : Tim Rey ,Arthur Kordon,Chip Wells
Publisher : SAS Institute
Page : 336 pages
File Size : 55,7 Mb
Release : 2012-07-02
Category : Computers
ISBN : 9781612900933

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Applied Data Mining for Forecasting Using SAS(R) by Tim Rey ,Arthur Kordon,Chip Wells Pdf

Applied Data Mining for Forecasting Using SAS, by Tim Rey, Arthur Kordon, and Chip Wells, introduces and describes approaches for mining large time series data sets. Written for forecasting practitioners, engineers, statisticians, and economists, the book details how to select useful candidate input variables for time series regression models in environments when the number of candidates is large, and identifies the correlation structure between selected candidate inputs and the forecast variable. This book is essential for forecasting practitioners who need to understand the practical issues involved in applied forecasting in a business setting. Through numerous real-world examples, the authors demonstrate how to effectively use SAS software to meet their industrial forecasting needs. This book is part of the SAS Press program.

Author : Dr. Goutam Chakraborty,Murali Pagolu,Satish Garla
Publisher : SAS Institute
Page : 340 pages
File Size : 42,5 Mb
Release : 2014-11-22
Category : Computers
ISBN : 9781612907871

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Text Mining and Analysis by Dr. Goutam Chakraborty,Murali Pagolu,Satish Garla Pdf

Big data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to the proliferation of online sources such as blogs, emails, and social media. However, having big data means little if you can't leverage it with analytics. Now you can explore the large volumes of unstructured text data that your organization has collected with Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS. This hands-on guide to text analytics using SAS provides detailed, step-by-step instructions and explanations on how to mine your text data for valuable insight. Through its comprehensive approach, you'll learn not just how to analyze your data, but how to collect, cleanse, organize, categorize, explore, and interpret it as well. Text Mining and Analysis also features an extensive set of case studies, so you can see examples of how the applications work with real-world data from a variety of industries. Text analytics enables you to gain insights about your customers' behaviors and sentiments. Leverage your organization's text data, and use those insights for making better business decisions with Text Mining and Analysis. This book is part of the SAS Press program.