Format:
1 Online-Ressource (XV, 1274 Seiten)
Edition:
Second edition
ISBN:
9783030543389
Series Statement:
Springer eBook Collection
Content:
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.
Note:
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.
Additional Edition:
ISBN 9783030543372
Additional Edition:
ISBN 9783030543396
Additional Edition:
Erscheint auch als Druck-Ausgabe Data mining with SPSS Modeler Cham : Springer, 2021 ISBN 9783030543372
Additional Edition:
ISBN 9783030543396
Language:
English
Subjects:
Computer Science
Keywords:
Statistik
;
Data Mining
;
SPSS
DOI:
10.1007/978-3-030-54338-9
Author information:
Wendler, Tilo
Author information:
Gröttrup, Sören 1982-
