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IBM SPSS Modeler Essentials : Effective techniques for building powerful data mining and predictive analytics solutions - Jesus Salcedo

IBM SPSS Modeler Essentials

Effective techniques for building powerful data mining and predictive analytics solutions

By: Jesus Salcedo, Keith McCormick

Paperback | 21 December 2017

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IBM SPSS Modeler 19 book empowers users in understanding the basics of data mining, data analysis and development of a predictive model. About This Book * Get up and running with IBM SPSS Modeler 19 without going into too much depth. *Identify interesting relationships within your data and build effective data models with SPSS Modeler. *A quick, easy to follow guide covering the newly released features in Modeler 19, written by the best in the business Who This Book Is For This book is ideal for those who are new to SPSS Modeler, and want to start using it as quickly as possible, without going into too much details. Understanding of some basic data mining concepts will be helpful, to get the best out of the book. What You Will Learn * Introduce yourself to the concept of data mining. and understand the basics of SPSS Modeler 19. *Combine the different aspects of the Modeler tool to produce a complete data mining solution. *Explore your data and identify hidden relationships within it. *Use various graph nodes to visualize your data. *Create interesting training and testing data sets and remove duplicates. *Evaluate the results of your model and deploy your models to production. In Detail This book will be your companion to get started with the basics of the recently released SPSS Modeler 19. Start with understanding the basics of data mining, and how SPSS Modeler can be a useful tool. This book describes the simplest possible data mining concepts, so that they are understandable by novice readers. In this book you will be familiarized with the Modeler workbench, and how you can import and explore your data to find interesting patterns and relationships within it. The book will make you learn how and when to leverage various popular data modeling techniques to build fast, efficient data models from your data. Evaluating a model's performance is as important as building it - this book will also show you how to do it. Finally, you will see how you can deploy your models and export your predictions. By the end of this book, you will have a basic understanding of what data modeling is, and the fundamental workings of SPSS Modeler.

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