Data Mining With Spss Modeler: Theory, Exercises and Solutions - Couverture souple

Wendler, Tilo; Gröttrup, Sören

Couverture souple

ISBN 10 : 3030543390 ISBN 13 : 9783030543396

Editeur : Springer Nature Switzerland AG, 2022

Synopsis

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.

A propos du livre

À propos de l?auteur

Dr. Tilo Wendler is a Professor at the University of Applied Sciences HTW Berlin, Germany. He studied mathematics, physics and business information technology. In his doctoral thesis, he examined determinants of user expectations in using information technology. He is also interested in applying 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 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.

Détails de l'édition

• Éditeur: Springer Nature Switzerland AG
• Date d'édition: 2022
• Langue: anglais
• ISBN 10: 3030543390
• ISBN 13: 9783030543396
• Reliure: Broché
• Numéro d'édition: 2
• Nombre de pages: 1289
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne