Data Mining with SPSS Modeler (PDF)
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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 learn 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.
Dr. Sören Gröttrup is a Professor of Machine Learning and Statistics at the Technische Hochschule Ingolstadt, Germany. After studying mathematics and computer science, he was awarded a Ph.D. for his research on stochastic models with biological applications. Alongside his doctoral studies, he worked as a data analyst, analyzing genomic data at a research institute. For many years, he worked as a data scientist in the airline and data-driven marketing business, and advised various companies on digitalization and machine learning projects.
- Autoren: Tilo Wendler , Sören Gröttrup
- 2021, 2nd ed. 2021, 1274 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030543382
- ISBN-13: 9783030543389
- Erscheinungsdatum: 24.05.2021
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 84 MB
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