Data Mining with SPSS Modeler: Theory, Exercises and Solutions

✍ Scribed by Tilo Wendler, Sören Gröttrup (auth.)

Publisher: Springer International Publishing
Year: 2016
Tongue: English
Leaves: 1068
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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

Front Matter....Pages i-xii
Introduction....Pages 1-23
Basic Functions of the SPSS Modeler....Pages 25-184
Univariate Statistics....Pages 185-286
Multivariate Statistics....Pages 287-345
Regression Models....Pages 347-512
Factor Analysis....Pages 513-585
Cluster Analysis....Pages 587-712
Classification Models....Pages 713-984
Using R with the Modeler....Pages 985-1035
Appendix....Pages 1037-1059

✦ Subjects

Statistical Theory and Methods; Statistics and Computing/Statistics Programs; Data Mining and Knowledge Discovery; Mathematical Software

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