Overview

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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9781788291118

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Keith McCormick is the Vice President and General Manager of QueBIT Consulting's Advanced Analytics team. He brings a wealth of consulting/training experience in statistics, predictive modeling and analytics, and data mining. For many years, he has worked in the SPSS community, first as an External Trainer and Consultant for SPSS Inc., then in a similar role with IBM, and now in his role with an award winning IBM partner. He possesses a BS in Computer Science and Psychology from Worcester Polytechnic Institute. He has been using Stats software tools since the early 90s, and has been training since 1997. He has been doing data mining and using IBM SPSS Modeler since its arrival in North America in the late 90s. He is an expert in IBM's SPSS software suite including IBM SPSS Statistics, IBM SPSS Modeler (formally Clementine), AMOS, Text Mining, and Classification Trees. He is active as a moderator and participant in statistics groups online including LinkedIn's Statistics and Analytics Consultants Group. He also blogs and reviews related books at KeithMcCormick.com. He enjoys hiking in out of the way places, finding unusual souvenirs while traveling overseas, exotic foods, and old books. Jesus Salcedo has a Ph.D. in Psychometrics from Fordham University. He is an independent statistical consultant that has been using SPSS products for over 20 years. He is a former SPSS Curriculum Team Lead and Senior Education Specialist who has written numerous SPSS training courses and trained thousands of users. The content development is going well. I just turned in my first chapter (although it was a bit longer than I anticipated).

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