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

Runkler, Thomas A.

  • 3.18 out of 5 stars
    11 ratings by Goodreads
 
9783658297787: Data Analytics: Models and Algorithms for Intelligent Data Analysis
Softcover
ISBN 10: 3658297786 ISBN 13: 9783658297787
Publisher: Springer Vieweg, 2020

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.

"synopsis" may belong to another edition of 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 atSiemens Corporate Technology and Professor for Computer Science at the Technical University of Munich.


"About this title" may belong to another edition of this title.

Publisher
Springer Vieweg
Publication date
2020
Language
English
ISBN 10 
3658297786
ISBN 13 
9783658297787
Binding
Paperback
Edition number
3
Number of pages
173
Rating
  • 3.18 out of 5 stars
    11 ratings by Goodreads