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.