Data Mining with SPSS Modeler : Theory, Exercises and Solutions /

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 program...

Full description

Bibliographic Details
Main Authors:	Wendler, Tilo (Author), Gröttrup, Sören (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	2nd ed. 2021.
Subjects:	Statistics . Data mining. Computer software. Statistics and Computing/Statistics Programs. Data Mining and Knowledge Discovery. Statistical Theory and Methods. Mathematical Software. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

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.