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Data Mining with SPSS Modeler = Theory, Exercises and Solutions /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data Mining with SPSS Modeler/ by Tilo Wendler, Sören Gröttrup.
Reminder of title:	Theory, Exercises and Solutions /
Author:	Wendler, Tilo.
other author:	Gröttrup, Sören.
Description:	XII, 1059 p. 1378 illus., 1277 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Statistics . -
Online resource:	https://doi.org/10.1007/978-3-319-28709-6
ISBN:	9783319287096

Data Mining with SPSS Modeler = Theory, Exercises and Solutions /
Wendler, Tilo.

Data Mining with SPSS ModelerTheory, Exercises and Solutions /[electronic resource] :by Tilo Wendler, Sören Gröttrup. - 1st ed. 2016. - XII, 1059 p. 1378 illus., 1277 illus. in color.online resource.

Preface -- Introduction -- Basic Functions of the SPSS Modeler -- Univariate Statistics -- Multivariate Statistics -- Regression Models -- Factor Analysis -- Cluster Analysis -- Classification Models -- Using R with the Modeler -- Data Sets Used in This Book.

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.

ISBN: 9783319287096

Standard No.: 10.1007/978-3-319-28709-6doiSubjects--Topical Terms:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Data Mining with SPSS Modeler = Theory, Exercises and Solutions /
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