Data Mining with SPSS Modeler: Theory, Exercises and Solutions

Introducing the IBM SPSS Modeler, this book guides readers through data mining processes and presents relevant statistical methods. There is a special focus on step-by-step tutorials and well-documented examples that help demystify complex mathematical algorithms and computer programs. The variety of exercises and solutions as well as an accompanying website with data sets and SPSS Modeler streams are particularly valuable. While intended for students, the simplicity of the Modeler makes the book useful for anyone wishing to learn about basic and more advanced data mining, and put this knowledge into practice.

Table of Contents

Chapter 1: Introduction
Chapter 2: Basic Functions of the SPSS Modeler
Chapter 3: Univariate Statistics
Chapter 4: Multivariate Statistics
Chapter 5: Regression Models
Chapter 6: Factor Analysis
Chapter 7: Cluster Analysis
Chapter 8: Classification Models
Chapter 9: Using R with the Modeler
Chapter 10: Appendix