Data Mining with SPSS Modeler : Theory, Exercises and Solutions

Tilo Wendler, Sören Gröttrup

ISBN 10: 3319287079 / ISBN 13: 9783319287072

Published by Springer-Verlag GmbH, 2016

About this Item

Zustand: Sehr gut | Seiten: 1059 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Seller Inventory # 26343055/202

Bibliographic Details

• Title: Data Mining with SPSS Modeler : Theory, Exercises and Solutions
• Publisher: Springer-Verlag GmbH
• Publication Date: 2016
• Language: English
• ISBN 10: 3319287079
• ISBN 13: 9783319287072
• Binding: Hardcover
• Condition: Sehr gut
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

Prof. Dr. Tilo Wendler studied mathematics, physics and business information technology. In his doctoral thesis he examined determinants of user expectations in using information technology. With much interest he applied complex statistical methods in the banking sector especially in the field of rating methods. He has been teaching business statistics and data mining for ten years.

Dr. Sören Gröttrup studied mathematics and computer science with focus on probability theory and statistics and got his Ph.D. for his research on biological models. Parallel to his doctoral studies, he worked in a research institute as a data analyst on genomic data sets. Today, he works as a data analyst and statistician in the industrial and marketing sector.