Titlebook: Data Mining with SPSS Modeler; Theory, Exercises an Tilo Wendler,Sören Gröttrup Textbook 2021Latest edition Springer Nature Switzerland AG

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Appendix,hich involves familiarizing with the meaning of the different variables in the dataset. This chapter lists all datasets used in this book together with an explanation of their background as well as a description and the meaning of the different variables included.

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rn about basic and more advanced data mining, and put this knowledge into practice. This revised and updated second edition includes a new chapter on imbalanced data and resampling techniques as well as an extensive case study on the cross-industry standard process for data mining.978-3-030-54339-6978-3-030-54338-9

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Ryan C. Knoper M.D.,Daniel Valentino M.D.ality of the model..After finishing this chapter, the reader can:.The interested reader should have a look especially at the following papers: We recommend van Buuren (.), McKnight et al. (.), Guyon and Elisseeff (.), and Kotsiantis et al. (.) for the data preparation and IBM (.) for the CRISP-DM mo

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Basic Functions of the SPSS Modeler,raphical representation of the results, e.g., the frequency distribution or the significance of a statistical test..Using the datasets provided with this book, this chapter gives an outline of how to import the data into an IBM SPSS Modeler stream and perform basic operations on the dataset..After f

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