Data Mining with SPSS Modeler (2nd Ed., 2nd ed. 2021) Theory, Exercises and Solutions
Auteurs : Wendler Tilo, Gröttrup Sören
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.
Date de parution : 05-2022
Ouvrage de 1274 p.
15.5x23.5 cm
Date de parution : 05-2021
Ouvrage de 1274 p.
15.5x23.5 cm
Thèmes de Data Mining with SPSS Modeler :
Mots-clés :
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