Data Mining with SPSS Modeler

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 data scientist with experience in a variety of industries and fields. For many years, he worked in the airline and data-driven marketing business, and he now advises various companies on digitalization and machine learning projects. 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.

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.