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Data mining with SPSS modelertheory,...

Grottrup, Soren.

Data mining with SPSS modelertheory, exercises and solutions /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data mining with SPSS modelerby 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.
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$q(electronic bk.)

Data mining with SPSS modelertheory, 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$q(electronic bk.)

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

SPSS (Computer file)
Subjects--Topical Terms:

184440
Data mining.

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

Dewey Class. No.: 006.312

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