Data Analytics

Models and Algorithms for Intelligent Data Analysis - A Comprehensive Introduction
Fourth Auflage 2025
ISBN: 978-3-658-45950-5
Verlag: Springer

Buch, Englisch, 189 Seiten, Format (B × H): 168 mm x 240 mm, Gewicht: 352 g

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. The new edition integrates themes such as Word Embeddings, Transformer Models, and generative AI among the contents and offers new exercises in addition. 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.

Zielgruppe

Lower undergraduate

Autoren/Hrsg.

Runkler, Thomas A.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung

Inhaltsverzeichnis

Introduction.- Data and Relations.- Data Preprocessing.- Data Visualization.- Correlation.- Regression.- Forecasting.- Classification.- Clustering.

Über Autor(innen)

Thomas A. Runkler is Distinguished Key Expert at Siemens AG and Professor at the School of Computation, Information and Technology of the Technical University of Munich.