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Data mining with SPSS modeler = theo...

Wendler, Tilo.

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Data mining with SPSS modeler = theory, exercises and solutions /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data mining with SPSS modeler/ by Tilo Wendler, Soren Grottrup.
Reminder of title:	theory, exercises and solutions /
Author:	Wendler, Tilo.
other author:	Grottrup, Soren.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xv, 1274 p. :ill., digital ;24 cm.
[NT 15003449]:	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 -- Imbalanced Data and Resampling Techniques -- Case Study: Fault Detection in Semiconductor Manufacturing Process -- Appendix.
Contained By:	Springer Nature eBook
Subject:	Data mining. -
Online resource:	https://doi.org/10.1007/978-3-030-54338-9
ISBN:	9783030543389

Data mining with SPSS modeler = theory, exercises and solutions /
Wendler, Tilo.

Data mining with SPSS modelertheory, exercises and solutions /[electronic resource] :by Tilo Wendler, Soren Grottrup. - Second edition. - Cham :Springer International Publishing :2021. - xv, 1274 p. :ill., 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 -- Imbalanced Data and Resampling Techniques -- Case Study: Fault Detection in Semiconductor Manufacturing Process -- Appendix.

Now in its second edition, this textbook introduces readers to the IBM SPSS Modeler and guides them through data mining processes and relevant statistical methods. Focusing on step-by-step tutorials and well-documented examples that help demystify complex mathematical algorithms and computer programs, it also features a variety of exercises and solutions, as well as an accompanying website with data sets and SPSS Modeler streams. 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. This revised and updated second edition includes a new chapter on imbalanced data and resampling techniques as well as an extensive case study on the cross-industry standard process for data mining.

ISBN: 9783030543389

Standard No.: 10.1007/978-3-030-54338-9doiSubjects--Uniform Titles:

SPSS (Computer file)
Subjects--Topical Terms:

562972
Data mining.

LC Class. No.: QA76.9.D343 / W4 2021

Dewey Class. No.: 006.312

Data mining with SPSS modeler = theory, exercises and solutions /
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245 1 0 $a Data mining with SPSS modeler $h [electronic resource] : $b theory, exercises and solutions / $c by Tilo Wendler, Soren Grottrup.
250 $a Second edition.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xv, 1274 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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 -- Imbalanced Data and Resampling Techniques -- Case Study: Fault Detection in Semiconductor Manufacturing Process -- Appendix.
520 $a Now in its second edition, this textbook introduces readers to the IBM SPSS Modeler and guides them through data mining processes and relevant statistical methods. Focusing on step-by-step tutorials and well-documented examples that help demystify complex mathematical algorithms and computer programs, it also features a variety of exercises and solutions, as well as an accompanying website with data sets and SPSS Modeler streams. 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. This revised and updated second edition includes a new chapter on imbalanced data and resampling techniques as well as an extensive case study on the cross-industry standard process for data mining.
630 0 0 $a SPSS (Computer file) $3 560159 $3 560159
650 0 $a Data mining. $3 562972
650 1 4 $a Statistics and Computing/Statistics Programs. $3 894293
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Mathematical Software. $3 897499
700 1 $a Grottrup, Soren. $3 2200264
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-54338-9
950 $a Mathematics and Statistics (SpringerNature-11649)