Data Analytics: Models and Algorithms for Intelligent Data Analysis

✍ Scribed by Thomas A. Runkler (auth.)

• Publisher: Vieweg+Teubner Verlag
• Year: 2012
• Tongue: English
• Leaves: 139
• Edition: 1
• Category: Library

✦ Synopsis

This book is a comprehensive introduction to the methods and algorithms and approaches of modern data analytics. It covers data preprocessing, visualization, correlation, regression, forecasting, classification, and clustering. 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. The text is designed for undergraduate and graduate courses on data analytics for engineering, computer science, and math students. It is also suitable for practitioners working on data analytics projects. This book has been used for more than ten years in numerous courses at the Technical University of Munich, Germany, in short courses at several other universities, and in tutorials at scientific conferences. Much of the content is based on the results of industrial research and development projects at Siemens.

✦ Table of Contents

Front Matter....Pages i-ix
Introduction....Pages 1-3
Data and Relations....Pages 5-20
Data Preprocessing....Pages 21-34
Data Visualization....Pages 35-54
Correlation....Pages 55-61
Regression....Pages 63-78
Forecasting....Pages 79-83
Classification....Pages 85-101
Clustering....Pages 103-122
Brief Review of Some Optimization Methods....Pages 123-126
Solutions....Pages 127-129
Back Matter....Pages 131-137

✦ Subjects

Data Mining and Knowledge Discovery; Data Structures; Computer Science, general