Data Mining with SPSS Modeler
Theory, Exercises and Solutions
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Beschreibung
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.
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
Autor*in
Tilo Wendler
Themen in »Data Mining with SPSS Modeler«
62-07, 62Hxx, 62Pxx, 62-01 IBM SPSS Modeler data mining mathematical software predictive analytics statistical methods exercises and solutions