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Data Mining with SPSS Modeler

Theory, Exercises and Solutions

  • Tilo Wendler
  • Sören Gröttrup

Table of contents

  1. Front Matter
    Pages i-xii
  2. Tilo Wendler, Sören Gröttrup
    Pages 1-23
  3. Tilo Wendler, Sören Gröttrup
    Pages 25-184
  4. Tilo Wendler, Sören Gröttrup
    Pages 185-286
  5. Tilo Wendler, Sören Gröttrup
    Pages 287-345
  6. Tilo Wendler, Sören Gröttrup
    Pages 347-512
  7. Tilo Wendler, Sören Gröttrup
    Pages 513-585
  8. Tilo Wendler, Sören Gröttrup
    Pages 587-712
  9. Tilo Wendler, Sören Gröttrup
    Pages 713-984
  10. Tilo Wendler, Sören Gröttrup
    Pages 985-1035
  11. Tilo Wendler, Sören Gröttrup
    Pages 1037-1059

About this book

Introduction

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.

Keywords

62-07, 62Hxx, 62Pxx, 62-01 IBM SPSS Modeler data mining mathematical software predictive analytics statistical methods exercises and solutions

Authors and affiliations

  • Tilo Wendler
    • 1
  • Sören Gröttrup
    • 2
  1. 1.HTW BerlinUniversity of Applied SciencesBerlinGermany
  2. 2.StuttgartGermany

Bibliographic information