Data mining with SPSS modeler: theory, exercises and solutions

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 o...

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Detalles Bibliográficos
Autores principales: Wendler, Tilo, Gröttrup, Sören
Lenguaje:eng
Publicado: Springer 2016
Materias:
Mathematical Physics and Mathematics
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-28709-6
http://cds.cern.ch/record/2196680
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author Wendler, Tilo
Gröttrup, Sören
author_facet Wendler, Tilo
Gröttrup, Sören
author_sort Wendler, Tilo
collection CERN
description 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.
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spelling cern-21966802021-04-21T19:38:53Zdoi:10.1007/978-3-319-28709-6http://cds.cern.ch/record/2196680engWendler, TiloGröttrup, SörenData mining with SPSS modeler: theory, exercises and solutionsMathematical Physics and MathematicsIntroducing 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.Springeroai:cds.cern.ch:21966802016
spellingShingle Mathematical Physics and Mathematics
Wendler, Tilo
Gröttrup, Sören
Data mining with SPSS modeler: theory, exercises and solutions
title Data mining with SPSS modeler: theory, exercises and solutions
title_full Data mining with SPSS modeler: theory, exercises and solutions
title_fullStr Data mining with SPSS modeler: theory, exercises and solutions
title_full_unstemmed Data mining with SPSS modeler: theory, exercises and solutions
title_short Data mining with SPSS modeler: theory, exercises and solutions
title_sort data mining with spss modeler: theory, exercises and solutions
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-28709-6
http://cds.cern.ch/record/2196680
work_keys_str_mv AT wendlertilo dataminingwithspssmodelertheoryexercisesandsolutions
AT grottrupsoren dataminingwithspssmodelertheoryexercisesandsolutions

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