Data Mining

Jürgen Cleve; Uwe Lämmel

Published by De Gruyter Oldenbourg 2020

Data Mining

Jürgen Cleve and Uwe Lämmel

In the series De Gruyter Studium

https://doi.org/10.1515/9783110676273

Overview
Contents

About this book

Data Mining encompasses methods and algorithms to disclose previously unknown connections within large quantities of data. This book covers the substance of a one-semester university or technical college course and is conceived as a classic textbook. It includes summaries, numerous examples, and practice exercises. The third edition also includes themes related to AI, Big Data, data science, and machine learning.

- eingeführtes Lehrbuch
- erfahrene Autoren
- aktualisiert (KI, Big Data, Data Science, Machine Learning, Tools)

Author / Editor information

Jürgen Cleve, Uwe Lämmel, Wismar

Topics

Frontmatter Publicly Available Download PDF	I
Vorwort Publicly Available Download PDF	V
Inhalt Publicly Available Download PDF	IX
1. Einführung Requires Authentication Unlicensed Licensed Download PDF	1
2. Grundlagen des Data Mining Requires Authentication Unlicensed Licensed Download PDF	41
3. Anwendungsklassen Requires Authentication Unlicensed Licensed Download PDF	61
4. Wissensrepräsentation Requires Authentication Unlicensed Licensed Download PDF	73
5. Klassifikation Requires Authentication Unlicensed Licensed Download PDF	87
6. Cluster-Analyse Requires Authentication Unlicensed Licensed Download PDF	147
7. Assoziationsanalyse Requires Authentication Unlicensed Licensed Download PDF	191
8. Datenvorbereitung Requires Authentication Unlicensed Licensed Download PDF	211
9. Bewertung Requires Authentication Unlicensed Licensed Download PDF	245
10. Eine Data-Mining-Aufgabe Requires Authentication Unlicensed Licensed Download PDF	273
A Anhang – Beispieldaten Requires Authentication Unlicensed Licensed Download PDF	305
Literatur Requires Authentication Unlicensed Licensed Download PDF	313
Stichwortverzeichnis Requires Authentication Unlicensed Licensed Download PDF	317

(Deutsch)

Language: German
Publisher: De Gruyter Oldenbourg
Edition: 3rd edition
Audience: Studierende an Universitäten und Fachchochschulen
Pages
- Front matter: 12
- Main content: 320
Illustrations
- Illustrations: 167
- Tables: 45
Keywords: Data Mining; Big Data

eBook

Published: October 12, 2020
ISBN: 9783110676273