IBM SPSS Modeler Essentials: Effective techniques for building powerful data mining and predictive analytics solutions
by Jesus Salcedo, Keith Mccormick
IBM SPSS Modeler Essentials presents effective techniques for building data mining and predictive analytics solutions. This practical guide helps readers explore the capabilities of IBM SPSS Modeler and provides a foundation for analysts, professionals, and learners interested in applying structured data analysis and predictive modeling methods.
About This Book
IBM SPSS Modeler Essentials introduces techniques for building data mining and predictive analytics solutions with IBM SPSS Modeler.
The book is focused on practical use of the platform and its role in analyzing data and developing predictive models.
It offers a useful reference for readers exploring data mining, predictive analytics, and applied statistical modeling.
Written by Jesus Salcedo and Keith Mccormick, this guide is suited to professionals, analysts, and learners working with IBM SPSS Modeler.
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