Data Mining with SPSS Modeler
Springer International Publishing (Verlag)
978-3-319-28707-2 (ISBN)
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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.
Erscheinungsdatum | 31.05.2016 |
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Zusatzinfo | XII, 1059 p. 1378 illus., 1277 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik |
Schlagworte | 62-07, 62Hxx, 62Pxx, 62-01 • Data Mining • data mining and knowledge discovery • exercises and solutions • IBM SPSS Modeler • mathematical software • mathematics and statistics • predictive analytics • Statistical Methods • Statistical Theory and Methods • Statistics and Computing/Statistics Programs |
ISBN-10 | 3-319-28707-9 / 3319287079 |
ISBN-13 | 978-3-319-28707-2 / 9783319287072 |
Zustand | Neuware |
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