Wendler T., Grottrup S. Data Mining with SPSS Modeler: Theory, Exercises and Solutions

Springer, 2016. — 1068 p. — ISBN: 9783319287072Introducing 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.The Concept of the SPSS Modeler
Structure and Features of This Book
Introducing the Modeling Process
Literature
Basic Functions of the SPSS Modeler
Defining Streams and Scrolling Through a Dataset
Switching Between Different Streams
Defining or Modifying Value Labels
Adding Comments to a Stream
Exercises
Solutions
Data Handling and Sampling Methods
Literature
Univariate Statistics
Theory
Simple Data Examination Tasks
Literature
Multivariate Statistics
Theory
Scatterplot
Scatterplot Matrix
Correlation
Correlation Matrix
Exclusion of Spurious Correlations
Contingency Tables
Exercises
Solutions
Literature
Regression Models
Introduction to Regression Models
Simple Linear Regression
Multiple Linear Regression
Generalized Linear (Mixed) Model
The Auto Numeric Node
Literature
Factor Analysis
Motivating Example
General Theory of Factor Analysis
Principal Component Analysis
Principal Factor Analysis
Literature
Cluster Analysis
Motivating Examples
General Theory of Cluster Analysis
TwoStep Hierarchical Agglomerative Clustering
K-Means Partitioning Clustering
Auto Clustering
Summar
Literature
Classification Models
Motivating Examples
General Theory of Classification Models
Logistic Regression
Linear Discriminate Classification
Support Vector Machine
Neuronal Networks
k-Nearest Neighbor
Decision Trees
The Auto Classifier Node
Literature
Using R with the Modeler
Advantages of R with the Modeler
Connecting with R
Test the SPSS Modeler Connection to R
Calculating New Variables in R
Model Building in R
Exercises
Solutions
Literature
Appendix
Data Sets Used in This Book
Literature