Data Analytics : Models and Algorithms for Intelligent Data Analysis / by Thomas A. Runkler.

Format:

Book

Author/Creator:

Runkler, Thomas A., author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Language:

English

Subjects (All):

Data mining.

Data structures (Computer science).

Data Mining and Knowledge Discovery.

Data Structures.

Local Subjects:

Data Mining and Knowledge Discovery.

Data Structures.

Physical Description:

1 online resource (XII, 150 pages) : 66 illustrations

Edition:

Second edition 2016.

Contained In:

Springer eBooks

Place of Publication:

Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2016.

System Details:

text file PDF

Summary:

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.

Contents:

Data Analytics

Data and Relations

Data Preprocessing

Data Visualization

Correlation

Regression

Forecasting

Classification

Clustering.

Other Format:

Printed edition:

ISBN:

978-3-658-14075-5

9783658140755

Access Restriction:

Restricted for use by site license.