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Data mining with SPSS modelertheory,...
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Grottrup, Soren.
Data mining with SPSS modelertheory, exercises and solutions /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Data mining with SPSS modelerby Tilo Wendler, Soren Grottrup.
Reminder of title:
theory, exercises and solutions /
Author:
Wendler, Tilo.
other author:
Grottrup, Soren.
Published:
Cham :Springer International Publishing :2016.
Description:
xii, 1059 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Data mining.
Online resource:
http://dx.doi.org/10.1007/978-3-319-28709-6
ISBN:
9783319287096$q(electronic bk.)
Data mining with SPSS modelertheory, exercises and solutions /
Wendler, Tilo.
Data mining with SPSS modeler
theory, exercises and solutions /[electronic resource] :by Tilo Wendler, Soren Grottrup. - Cham :Springer International Publishing :2016. - xii, 1059 p. :ill. (some col.), digital ;24 cm.
Preface -- Introduction -- Basic Functions of the SPSS Modeler -- Univariate Statistics -- Multivariate Statistics -- Regression Models -- Factor Analysis -- Cluster Analysis -- Classification Models -- Using R with the Modeler -- Data Sets Used in This Book.
Introducing the IBM SPSS Modeler, this book guides readers through data mining processes and presents relevant statistical methods. There is a special focus on step-by-step tutorials and well-documented examples that help demystify complex mathematical algorithms and computer programs. The variety of exercises and solutions as well as an accompanying website with data sets and SPSS Modeler streams are particularly valuable. While intended for students, the simplicity of the Modeler makes the book useful for anyone wishing to learn about basic and more advanced data mining, and put this knowledge into practice.
ISBN: 9783319287096$q(electronic bk.)
Standard No.: 10.1007/978-3-319-28709-6doiSubjects--Uniform Titles:
SPSS (Computer file)
Subjects--Topical Terms:
184440
Data mining.
LC Class. No.: QA76.9.D343
Dewey Class. No.: 006.312
Data mining with SPSS modelertheory, exercises and solutions /
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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.
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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.
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EB QA76.9.D343 W471 2016
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http://dx.doi.org/10.1007/978-3-319-28709-6
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