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Record Nr. |
UNINA9910484742203321 |
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Autore |
Wendler Tilo |
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Titolo |
Data Mining with SPSS Modeler : Theory, Exercises and Solutions / / by Tilo Wendler, Sören Gröttrup |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[2nd ed. 2021.] |
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Descrizione fisica |
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1 online resource (1285 pages) |
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Disciplina |
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Soggetti |
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Mathematical statistics - Data processing |
Data mining |
Statistics |
Computer software |
Statistics and Computing |
Data Mining and Knowledge Discovery |
Statistical Theory and Methods |
Mathematical Software |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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Now in its second edition, this textbook introduces readers to the IBM SPSS Modeler and guides them through data mining processes and relevant statistical methods. Focusing on step-by-step tutorials and well-documented examples that help demystify complex mathematical algorithms and computer programs, it also features a variety of exercises and solutions, as well as an accompanying website with data sets and SPSS Modeler streams. While intended for students, the simplicity of the Modeler makes the book useful for anyone wishing to |
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