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Enterprise Guide and SAS Enterprise Miner is a beginners guide with clear, illustrated, step-by-step instructions that will lead you through;
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data, and incorporating textual records into your predictive model with SAS Text Miner. Finally, part 4 takes segmentation to a new level with;
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software with regard to SEMMA design and data mining analysis. Data Mining Using SAS Enterprise Miner introduces readers to a wide variety of data;
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practical advice in the form of SAS coding tips and tricks, and provides the reader with a conceptual background on data structures and;
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on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS;
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solutions in SAS, R, Spectrum Miner, and KNIME, which compares the respective tools. This book also presents the applications of net scoring;
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analytics with linear regression, SAS programs for repetitive analysis, presentation of output results in proper format, as well as interpretation;
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techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic;
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the steps ahead. The book combines the conceptual perspective and a hands-on approach to predictive analytics using SAS VIYA, an analytic and;
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Whether you are using SAS Enterprise Guide for the first time or transitioning to the newest release, this is the book for you! With The;
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Learning to use SAS Enterprise Guide has never been easier. With this handbook, Slaugher and Delwiche introduce the SAS Enterprise Guide;
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reveal. Users should be familiar with the SAS Enterprise Guide user interface and tasks. No programming experience is necessary. SAS Products and;
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This book contains the proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise;
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. Marketing Research with SAS Enterprise Guide includes 236 screen shots to provide a detailed explanation of the SAS Enterprise Guide software. Based;
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This is the first book to present time series analysis using the SAS Enterprise Guide software. It includes some starting background and;
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Leverage the capabilities of SAS to process and analyze Big Data About This Book * Combine SAS with platforms such as Hadoop, SAP;
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to gain a competitive advantage in situations with complex data. Volume 2 examines applications of predictive modeling. Where Volume 1;
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with SAS Enterprise Guide for advanced undergraduate and beginning graduate students, as well as professionals in psychology, education;
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with SAS Enterprise Guide for advanced undergraduate and beginning graduate students, as well as professionals in psychology, education;
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is for actuaries and other financial analysts who are developing their expertise in statistics and wish to become familiar with concrete examples;
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Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python About;
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. Marketing Research with SAS Enterprise Guide includes 236 screen shots to provide a detailed explanation of the SASA (R) Enterprise Guide software;
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Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data;
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with 7 short and 2 invited papers in this volume were carefully reviewed and selected from a total of 58 submissions to the main conference;
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methods to build scalable analytic applications. This book is your guide to getting started with predictive analytics using Python. You'll;
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