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Summary:

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.

Table of Contents:

• Preface
• Introduction
• Basic Functions of the SPSS Modeler
• Univariate Statistics
• Multivariate Statistics
• Regression Models
• Factor Analysis
• Cluster Analysis
• Classification Models
• Using R with the Modeler
• Data Sets Used in This Book.

Author/Creator:

Wendler, Tilo , author

Contributors:

Gröttrup, Sören , author

Languages:

English

Language Notes:

Item content: English

Main Work:

Data mining with SPSS modeler: theory, exercises and solutions [by Wendler, T.]

Subjects:

SPSS (Computer file)

Data mining

General Notes:

Includes bibliographical references.
Description based on: Online resource; title from PDF title page (SpringerLink, viewed June 21, 2016).

Physical Description:

1 online resource (xii, 1059 pages) : illustrations (some color)

Digital Characteristics:

text file

Call Numbers:

QA76.9.D343 W463 2016eb

ISBNs:

9783319287096 (electronic bk.)
3319287095 (electronic bk.)
3319287079 (print) [Invalid]
9783319287072 (print) [Invalid]

Other Standard Numbers:

Digital Object Identifier: 10.1007/978-3-319-28709-6

OCLC Numbers:

951977994