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Data Mining with SPSS Modeler: Theory, Exercises and Solutions
Springer | Statistics Textbook | July 8, 2016 | ISBN-10: 3319287079 | 1069 pages | pdf | 82.44 mb
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
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.