Data Analytics: Models and Algorithms for Intelligent Data Analysis - Softcover

Runkler, Thomas A.

Softcover

ISBN 10: 3658140747 ISBN 13: 9783658140748

Publisher: Springer Vieweg, 2016

Synopsis

This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content is based on the results of industrial research and development projects at Siemens.

About this title

About the Author

Thomas A. Runkler is Principal Research Scientist at Siemens Corporate Technology and Professor for Computer Science at the Technical University of Munich.

From the Back Cover

This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content is based on the results of industrial research and development projects at Siemens.

Content

• Data Analytics

• Data and Relations

• Data Preprocessing

• Data Visualization

• Correlation

• Regression

• Forecasting

• Classification

• Clustering

Target Groups

• Students of computer science, mathematics and engineering
  
• Data analytics practitioners
  

The Author

Thomas A. Runkler is Principal Research Scientist at Siemens Corporate Technology and Professor for Computer Science at the Technical University of Munich.

Edition details

• Publisher: Springer Vieweg
• Publication date: 2016
• Language: English
• ISBN 10: 3658140747
• ISBN 13: 9783658140748
• Binding: Paperback
• Edition number: 2
• Number of pages: 162