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Data mining with SPSS modeler[electronic resource] :theory, exercises and solutions /

纪录类型:	书目-电子资源 : Monograph/item
[NT 15000414] null:	006.312
[NT 47271] Title/Author:	Data mining with SPSS modeler : theory, exercises and solutions // by Tilo Wendler, Soren Grottrup.
作者:	Wendler, Tilo.
[NT 51406] other author:	Grottrup, Soren.
出版者:	Cham : : Springer International Publishing :, 2016.
面页册数:	xii, 1059 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
标题:	Data mining.
标题:	Statistics.
标题:	Statistical Theory and Methods.
标题:	Statistics and Computing/Statistics Programs.
标题:	Data Mining and Knowledge Discovery.
标题:	Mathematical Software.
ISBN:	9783319287096
ISBN:	9783319287072
[NT 15000228] null:	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.
[NT 15000229] null:	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.
电子资源:	http://dx.doi.org/10.1007/978-3-319-28709-6

Data mining with SPSS modeler[electronic resource] :theory, exercises and solutions /
Wendler, Tilo.

Data mining with SPSS modelertheory, 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

Standard No.: 10.1007/978-3-319-28709-6doiSubjects--Uniform Titles:

SPSS (Computer file)
Subjects--Topical Terms:

337740
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Data mining with SPSS modeler[electronic resource] :theory, exercises and solutions /
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