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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 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data mining with SPSS modeler/ by Tilo Wendler, Soren Grottrup.
其他題名:	theory, exercises and solutions /
作者:	Wendler, Tilo.
其他作者:	Grottrup, Soren.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xv, 1274 p. :ill., digital ;24 cm.
內容註:	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
標題:	Data mining. -
電子資源:	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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