Data Analytics: Models and Algorithms for Intelligent Data Analysis, 2nd Edition

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

Chapter 1 Introduction
Chapter 2 Data and Relations
Chapter 3 Data Preprocessing
Chapter 4 Data Visualization
Chapter 5 Correlation
Chapter 6 Regression
Chapter 7 Forecasting
Chapter 8 Classification
Chapter 9 Clustering
Appendix A Brief Review of Some Optimization Methods