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Springer International Publishing
Introducing the IBM SPSS Modeler, this book guides readers through data mining processes and presents relevant statistical methods. There is a special focus on step-by-step tutorials and well-documented examples that help demystify complex mathematical algorithms and computer programs. The variety of exercises and solutions as well as an accompanying website with data sets and SPSS Modeler streams are particularly valuable. 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.
Opens data mining to those without programming skills Provides a step by step introduction to the IBM SPSS Modeler Features numerous explanatory illustrations and data examples Covers all levels of complexity, from basic statistics to advanced predictive modeling Provides easy access to ready-to-use datasets and solution streams
Prof. Dr. Tilo Wendler studied mathematics, physics and business information technology. In his doctoral thesis he examined determinants of user expectations in using information technology. With much interest he applied 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 studied mathematics and computer science with focus on probability theory and statistics and got his Ph.D. for his research on biological models. Parallel to his doctoral studies, he worked in a research institute as a data analyst on genomic data sets. Today, he works as a data analyst and statistician in the industrial and marketing sector.
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.- Data Sets Used in This Book.