|
Knowledge Discovery in Databases (KDD)
- Dozentinnen/Dozenten
- Dominik Probst, M. Sc., Melanie Bianca Sigl, M. Sc.
- Angaben
- Vorlesung
Online 2 SWS
nur Fachstudium, Sprache Englisch
Zeit: Mo 10:15 - 11:45, Zoom-Meeting
- Studienfächer / Studienrichtungen
- WPF INF-MA ab 2
WPF INF-LAG 4-6
WPF INF-LAR 4-6
WPF INF-BA 4-6
WF M-BA 4-6
WPF DS-BA ab 3
WPF DS-MA ab 1
WPF IIS-MA 2-3
WF MT-MA-BDV ab 1
- Voraussetzungen / Organisatorisches
- Konzeptionelle Modellierung
- Inhalt
- 1. Introduction
2. Data
3. Preprocessing
4. Data Warehousing and Online Analytical Processing
5. Mining Frequent Patterns, Associations and Correlations
6. Classification
7. Cluster Analysis
8. Outlier Analysis
- Empfohlene Literatur
- The lecture is based on the following book:
J. Han, M. Kamber, and J. Pei, Data Mining: Concepts and Techniques, 3rd. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., 2011, ISBN: 0123814790
Also interesting and related textbooks are:
A. Géron, Hands-on machine learning with Scikit-Learn and TensorFlow : concepts, tools, and techniques to build intelligent systems, 2nd ed. O’Reilly Media, 2017, ISBN: 978-1491962299
H. Du, Data Mining Techniques and Applications: An Introduction. Cengage Learning EMEA, May 2010, p. 336, ISBN: 978-1844808915
I. H. Witten, E. Frank, M. A. Hall, et al., Data Mining, Fourth Edition: Practical Machine Learning Tools and Techniques, 4th. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., 2016, ISBN: 0128042915
- ECTS-Informationen:
- Title:
- Knowledge Discovery in Databases
- Prerequisites
-
- Contents
- 1. Introduction
2. Data
3. Preprocessing
4. Data Warehousing and Online Analytical Processing
5. Mining Frequent Patterns, Associations and Correlations
6. Classification
7. Cluster Analysis
8. Outlier AnalysisThe students will learn about:
the particular challenges of data mining on large sets of data
the technologies available for data analysis
the process of data mining
applications
- Literature
- Han, Jiawei ; Kamber, Micheline ; Pei, Jian: Data Mining: Concepts and Techniques. 3rd ed. Waltham, MA : Morgan Kaufmann, 2012 (The Morgan Kaufmann Series in Data Management Systems). - ISBN 978-0-12-381479-1 (copies are available in the TNZB)
Du, Hongbo: Data Mining Techniques and Applications. Andover, UK : Cengage Learning, 2010
Witten, Ian H. ; Frank, Eibe ; Hall, Mark A.: Data Mining. Practical Machine Learning Tools and Techniques. 3rd ed. Burlington, MA : Morgan Kaufmann, 2011 (The Morgan Kaufmann Series in Data Management Systems). - ISBN 978-0-12-3748569-0
- Zusätzliche Informationen
- Schlagwörter: Data Mining, KDD
Erwartete Teilnehmerzahl: 200
- Zugeordnet zu: Übungen zu KDD
- Verwendung in folgenden UnivIS-Modulen
- Startsemester SS 2022:
- Knowledge Discovery in Databases (KDD)
- Knowledge Discovery in Databases mit Übung (KDDmUe)
- Institution: Lehrstuhl für Informatik 6 (Datenmanagement)
|
|
|
|
UnivIS ist ein Produkt der Config eG, Buckenhof |
|
|