Data Mining Using Enterprise Miner Software

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Data Mining Using SAS Enterprise Miner

Author : Randall Matignon
Publisher : John Wiley & Sons
ISBN 13 : 0470149019
Total Pages : 584 pages
Book Rating : 4.4/5 (71 download)

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Book Synopsis Data Mining Using SAS Enterprise Miner by : Randall Matignon

Download or read book Data Mining Using SAS Enterprise Miner written by Randall Matignon and published by John Wiley & Sons. This book was released on 2007-08-03 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introduction to Data Mining Using SAS Enterprise Miner

Author : Patricia B. Cerrito
Publisher : SAS Press
ISBN 13 : 9781590478295
Total Pages : 0 pages
Book Rating : 4.4/5 (782 download)

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Book Synopsis Introduction to Data Mining Using SAS Enterprise Miner by : Patricia B. Cerrito

Download or read book Introduction to Data Mining Using SAS Enterprise Miner written by Patricia B. Cerrito and published by SAS Press. This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This manual provides a general, practical introduction to data mining using SAS Enterprise Miner and SAS Text Miner software"--Preface.

Data Mining Using Enterprise Miner Software

Author : SAS Institute
Publisher : SAS Press
ISBN 13 : 9781580256414
Total Pages : 105 pages
Book Rating : 4.2/5 (564 download)

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Book Synopsis Data Mining Using Enterprise Miner Software by : SAS Institute

Download or read book Data Mining Using Enterprise Miner Software written by SAS Institute and published by SAS Press. This book was released on 2000-01-01 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introductory guide uses a case study approach to take you through the Enterprise Miner interface from initial data access to a completed association analysis. If you are a new Enterprise Miner user, you will find this guide to be an invaluable resource as you navigate the interface. After completing the case study in this guide, you will be prepared to tackle the more complicated statistical analyses that are covered in the Enterprise Miner online reference documentation. This title is available for purchase as a hardcopy book.

Predictive Modeling with SAS Enterprise Miner

Author : Kattamuri S. Sarma
Publisher : SAS Institute
ISBN 13 : 163526040X
Total Pages : 574 pages
Book Rating : 4.6/5 (352 download)

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Book Synopsis Predictive Modeling with SAS Enterprise Miner by : Kattamuri S. Sarma

Download or read book Predictive Modeling with SAS Enterprise Miner written by Kattamuri S. Sarma and published by SAS Institute. This book was released on 2017-07-20 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: « 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. »--

Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner

Author : Olivia Parr-Rud
Publisher : SAS Institute
ISBN 13 : 1629593273
Total Pages : 182 pages
Book Rating : 4.6/5 (295 download)

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Book Synopsis Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner by : Olivia Parr-Rud

Download or read book Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner written by Olivia Parr-Rud and published by SAS Institute. This book was released on 2014-10 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. --

Handbook of Statistical Analysis and Data Mining Applications

Author : Robert Nisbet
Publisher : Elsevier
ISBN 13 : 0124166458
Total Pages : 822 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Handbook of Statistical Analysis and Data Mining Applications by : Robert Nisbet

Download or read book Handbook of Statistical Analysis and Data Mining Applications written by Robert Nisbet and published by Elsevier. This book was released on 2017-11-09 with total page 822 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Applied Data Mining for Forecasting Using SAS

Author : Tim Rey
Publisher : SAS Institute
ISBN 13 : 1612900933
Total Pages : 336 pages
Book Rating : 4.6/5 (129 download)

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Book Synopsis Applied Data Mining for Forecasting Using SAS by : Tim Rey

Download or read book Applied Data Mining for Forecasting Using SAS written by Tim Rey and published by SAS Institute. This book was released on 2012-07-02 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Customer Segmentation and Clustering Using SAS Enterprise Miner, Third Edition

Author : Randall S. Collica
Publisher : SAS Institute
ISBN 13 : 1629605298
Total Pages : 356 pages
Book Rating : 4.6/5 (296 download)

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

Download or read book Customer Segmentation and Clustering Using SAS Enterprise Miner, Third Edition written by Randall S. Collica and published by SAS Institute. This book was released on 2017-03-23 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. --

Data Mining Using SAS Enterprise Miner

Author : SAS Institute
Publisher : Sas Inst
ISBN 13 : 9781590471906
Total Pages : 127 pages
Book Rating : 4.4/5 (719 download)

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Book Synopsis Data Mining Using SAS Enterprise Miner by : SAS Institute

Download or read book Data Mining Using SAS Enterprise Miner written by SAS Institute and published by Sas Inst. This book was released on 2003 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Getting Started with SAS Enterprise Miner 5.2

Author : SAS Institute
Publisher : SAS Institute
ISBN 13 : 9781599940021
Total Pages : 147 pages
Book Rating : 4.9/5 (4 download)

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Book Synopsis Getting Started with SAS Enterprise Miner 5.2 by : SAS Institute

Download or read book Getting Started with SAS Enterprise Miner 5.2 written by SAS Institute and published by SAS Institute. This book was released on 2006 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Mining Techniques with SAS Enterprise Miner. Sampling, Exporatory Analysis and Association Rules

Author : Scientific Books
Publisher : CreateSpace
ISBN 13 : 9781514646441
Total Pages : 266 pages
Book Rating : 4.6/5 (464 download)

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Book Synopsis Data Mining Techniques with SAS Enterprise Miner. Sampling, Exporatory Analysis and Association Rules by : Scientific Books

Download or read book Data Mining Techniques with SAS Enterprise Miner. Sampling, Exporatory Analysis and Association Rules written by Scientific Books and published by CreateSpace. This book was released on 2015-06-22 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: SAS Institute implements data mining in Enterprise Miner software, which will be used in this book focused predictive models. SAS Institute defines the concept of Data Mining as the process of selecting (Selecting), explore (Exploring), modify (Modifying), modeling (Modeling) and rating (Assessment) large amounts of data with the aim of uncovering unknown patterns which can be used as a comparative advantage with respect to competitors. This process is summarized with the acronym SEMMA which are the initials of the 5 phases which comprise the process of Data Mining according to SAS Institute.

Data Science and Machine Learning for Non-Programmers

Author : Dothang Truong
Publisher : CRC Press
ISBN 13 : 1003835635
Total Pages : 768 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Data Science and Machine Learning for Non-Programmers by : Dothang Truong

Download or read book Data Science and Machine Learning for Non-Programmers written by Dothang Truong and published by CRC Press. This book was released on 2024-02-23 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially; however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from various non-technical fields, enabling them to utilize machine learning effectively. Adopting a hands-on approach, readers are guided through practical implementations using real datasets and SAS Enterprise Miner, a user-friendly data mining software that requires no programming. Throughout the chapters, two large datasets are used consistently, allowing readers to practice all stages of the data mining process within a cohesive project framework. This book also provides specific guidelines and examples on presenting data mining results and reports, enhancing effective communication with stakeholders. Designed as a guiding companion for both beginners and experienced practitioners, this book targets a wide audience, including students, lecturers, researchers, and industry professionals from various backgrounds.

SAS Enterprise Miner. Data Mining Techniques

Author : Martha Abell
Publisher : CreateSpace
ISBN 13 : 9781501072888
Total Pages : 82 pages
Book Rating : 4.0/5 (728 download)

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Book Synopsis SAS Enterprise Miner. Data Mining Techniques by : Martha Abell

Download or read book SAS Enterprise Miner. Data Mining Techniques written by Martha Abell and published by CreateSpace. This book was released on 2014-09-05 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the most common techniques used in data mining in a simple and easy to understand way through one of the most common software solutions from existing in the market, namely the SAS software. It seeks to clarify the original purpose as related applications traditionally qualified as difficult or opaque methods. It seeks to present applications of data mining without handle high theoretical mathematical developments or complicated algorithms, which is the most common reason for the difficulties in understanding and application of this material. In the text the concepts of data mining in the simplest way possible, so as to be intelligible to readers with diverse backgrounds are described. The chapter begins by describing the techniques presented in accessible language and then how to address them through practical applications.

Getting Started with SAS Enterprise Miner 5.3

Author : SAS Publishing
Publisher : Sas Inst
ISBN 13 : 9781599948270
Total Pages : 184 pages
Book Rating : 4.9/5 (482 download)

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Book Synopsis Getting Started with SAS Enterprise Miner 5.3 by : SAS Publishing

Download or read book Getting Started with SAS Enterprise Miner 5.3 written by SAS Publishing and published by Sas Inst. This book was released on 2008-06-01 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: SAS Enterprise Miner 5.3 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 5.3 provides step-by-step examples that create a complete process flow diagram, including graphic results. This title is also available online and in hardcopy format. 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.

Statistical Data Mining Using SAS Applications

Author : George Fernandez
Publisher : CRC Press
ISBN 13 : 1439810761
Total Pages : 477 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Statistical Data Mining Using SAS Applications by : George Fernandez

Download or read book Statistical Data Mining Using SAS Applications written by George Fernandez and published by CRC Press. This book was released on 2010-06-18 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Text Mining and Analysis

Author : Dr. Goutam Chakraborty
Publisher : SAS Institute
ISBN 13 : 1612907873
Total Pages : 340 pages
Book Rating : 4.6/5 (129 download)

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Book Synopsis Text Mining and Analysis by : Dr. Goutam Chakraborty

Download or read book Text Mining and Analysis written by Dr. Goutam Chakraborty and published by SAS Institute. This book was released on 2014-11-22 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Neural Networks with SAS Enterprise Miner

Author : Scientific Books
Publisher : CreateSpace
ISBN 13 : 9781514652282
Total Pages : 292 pages
Book Rating : 4.6/5 (522 download)

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Book Synopsis Neural Networks with SAS Enterprise Miner by : Scientific Books

Download or read book Neural Networks with SAS Enterprise Miner written by Scientific Books and published by CreateSpace. This book was released on 2015-06-22 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: SAS Institute implements data mining in Enterprise Miner software, which will be used in this book focused in Neural Networks models. SAS Institute defines the concept of Data Mining as the process of selecting (Selecting), explore (Exploring), modify (Modifying), modeling (Modeling) and rating (Assessment) large amounts of data with the aim of uncovering unknown patterns which can be used as a comparative advantage with respect to competitors. This process is summarized with the acronym SEMMA which are the initials of the 5 phases which comprise the process of Data Mining according to SAS Institute.