Data Analytics: Models and Algorithms for Intelligent Data Analysis

✍ Scribed by Thomas A. Runkler (auth.)

Publisher: Springer Vieweg
Year: 2016
Tongue: English
Leaves: 158
Edition: 2
Category: Library

No coin nor oath required. For personal study only.

✦ 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.

✦ Table of Contents

Front Matter....Pages i-xii
Introduction....Pages 1-3
Data and Relations....Pages 5-22
Data Preprocessing....Pages 23-36
Data Visualization....Pages 37-58
Correlation....Pages 59-65
Regression....Pages 67-83
Forecasting....Pages 85-89
Classification....Pages 91-109
Clustering....Pages 111-132
Back Matter....Pages 133-150

✦ Subjects

Data Mining and Knowledge Discovery;Data Structures

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