Data Mining with SPSS Modeler : Theory, Exercises and Solutions / / by Tilo Wendler, Sören Gröttrup

• Autore: Wendler Tilo
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
• Edizione: 1st ed. 2016.
• Descrizione fisica: 1 online resource (XII, 1059 p. 1378 illus., 1277 illus. in color.)
• Disciplina: 005.55
• Soggetto topico: Statistics ; Data mining; Computer software; Statistical Theory and Methods; Statistics and Computing/Statistics Programs; Data Mining and Knowledge Discovery; Mathematical Software
• Persona (resp. second.): GröttrupSören
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Data Mining with SPSS Modeler
• ISBN: 3-319-28709-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910254096103321
• Lo trovi qui: Univ. Federico II