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

Runkler, Thomas A.

Brossura

ISBN 10: 3658297786 ISBN 13: 9783658297787

Casa editrice: Springer Vieweg, 2020

Riassunto

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.

Su questo libro

Informazioni sull?autore

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

Dalla quarta di copertina

<p>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.</p><p><br></p><p>Content</p><p>• Data Analytics</p><p>• Data and Relations</p>• Data Preprocessing<p></p><p>• Data Visualization</p><p>• Correlation</p><p>• Regression</p><p>• Forecasting</p><p>• Classification</p><p>• Clustering</p><p><br></p><p>Target Groups</p><p></p><ul><li>Students of computer science, mathematics and engineering<br></li><li>Data analytics practitioners<br></li></ul><p></p><p><br></p><p>The Author</p><p>Thomas A. Runkler is Principal Research Scientist at Siemens Corporate Technology and Professor for Computer Science at the Technical University of Munich.</p><p><br></p>

Dettagli dell'edizione

• Editore: Springer Vieweg
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3658297786
• ISBN 13: 9783658297787
• Rilegatura: Copertina flessibile
• Numero edizione: 3
• Numero di pagine: 176
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania