Es ist eine neuere Version 2022W dieser LV im Curriculum Master's programme Artificial Intelligence 2023W vorhanden.
Workload
Education level
Study areas
Responsible person
Hours per week
Coordinating university
3 ECTS
M1 - Master's programme 1. year
Computer Science
Johannes Fürnkranz
2 hpw
Johannes Kepler University Linz
Detailed information
Original study plan
Master's programme Computer Science 2019W
Objectives
This course offers a basic introduction to data mining and knowledge discovery, both from a theoretical and practical point of view.
Subject
Topics covered include
Data mining process models
Pre-processing techniques
Inductive rule learning
Efficient similarity-based techniques
Association rule mining
Graph Mining
Evaluation
Criteria for evaluation
Exam, Project assignment
Methods
Slide Presentations with Practical Exercises
Language
English and French
Study material
I. H. Witten, E. Frank, M. A. Hall, C. J. Pal: Data Mining. Morgan Kaufmann. J. Leskovec, A. Rajaraman, J. D. Ullman: Mining of Massive Datasets. Cambridge University Press.
