![]() ![]() ![]() What You Will Learn: Understand the basics of data mining and familiarize yourself with Modelers visual programming interface Import data into Modeler and learn how to properly declare metadata Obtain summary statistics and audit the quality of your data Prepare data for modeling by selecting and sorting cases, identifying and removing duplicates, combining data files, and modifying and creating fields Assess simple relationships using various statistical and graphing techniques Get an overview of the different types of models available in Modeler Build a decision tree model and assess its results Score new data and export predictions 2. ![]() This book provides an overview of various popular data modeling techniques and presents a detailed case study of how to use CHAID, a decision tree model.īy the end of this book, you will have a firm understanding of the basics of data mining and how to effectively use Modeler to build predictive models. You will learn how to read data into Modeler, assess data quality, prepare your data for modeling, find interesting patterns and relationships within your data, and export your predictions. IBM SPSS Modeler Essentials: Effective techniques for building powerful data mining and predictive analytics solutions 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 detail.Īn understanding of basic data mining concepts will be helpful, to get the best out of the book. Best IBM SPSS Modeler Books (1) IBM SPSS Modeler Essentials (2) IBM SPSS Modeler Cookbook (3) Data Mining with SPSS Modeler: Theory, Exercises and Solutions 1. ![]()
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