Authors:
- Makes data mining accessible to those without programming skills
- Provides a step-by-step introduction to the IBM SPSS Modeler
- Includes a new chapter on imbalanced data and resampling techniques, and an extensive case study on CRISP-DM
- Features numerous explanatory illustrations and data examples, together with easy access to ready-to-use datasets and solution streams
- Covers all levels of complexity, from basic statistics to advanced predictive modeling
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (12 chapters)
-
Front Matter
About this book
Keywords
- IBM SPSS Modeler
- data mining
- statistical software
- predictive analytics
- statistical methods
- exercises, solutions, case studies
- imbalanced data
- resampling techniques
- cross-industry standard process for data mining
- R and SPSS Modeler
- multivariate statistics
- regression models
- factor analysis
- cluster analysis
- classification models
- data mining process
- 62-07, 62Hxx, 62Pxx, 62-01
Authors and Affiliations
-
University of Applied Sciences HTW Berlin, Berlin, Germany
Tilo Wendler
-
Stuttgart, Germany
Sören Gröttrup
About the authors
Dr. Tilo Wendler is a Professor at the University of Applied Sciences HTW Berlin, Germany. He studied mathematics, physics and business information technology. In his doctoral thesis, he examined determinants of user expectations in using information technology. He is also interested in applying complex statistical methods in the banking sector, especially in the field of rating methods. He has been teaching business statistics and data mining for ten years.
Dr. Sören Gröttrup is a Professor of Machine Learning and Statistics at the Technische Hochschule Ingolstadt, Germany. After studying mathematics and computer science, he was awarded a Ph.D. for his research on stochastic models with biological applications. Alongside his doctoral studies, he worked as a data analyst, analyzing genomic data at a research institute. For many years, he worked as a data scientist in the airline and data-driven marketing business, and advised various companies on digitalization and machine learning projects.
Bibliographic Information
Book Title: Data Mining with SPSS Modeler
Book Subtitle: Theory, Exercises and Solutions
Authors: Tilo Wendler, Sören Gröttrup
DOI: https://doi.org/10.1007/978-3-030-54338-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-54337-2Published: 25 May 2021
Softcover ISBN: 978-3-030-54339-6Published: 26 May 2022
eBook ISBN: 978-3-030-54338-9Published: 24 May 2021
Edition Number: 2
Number of Pages: XV, 1274
Number of Illustrations: 1541 b/w illustrations
Topics: Statistics and Computing/Statistics Programs, Data Mining and Knowledge Discovery, Statistical Theory and Methods, Mathematical Software