Es ist eine neuere Version 2023W dieses Fachs/Moduls im Curriculum Master's programme Economic and Business Analytics 2024W vorhanden.
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Workload
Mode of examination
Education level
Study areas
Responsible person
Coordinating university
6 ECTS
Accumulative module examination
M1 - Master's programme 1. year
Business Informatics
Michael Schrefl
Johannes Kepler University Linz
Detailed information
Original study plan
Master's programme Business Informatics 2016W
Objectives
Students are enabled to apply data mining methods and techniques to recognize patterns that reveal potentially unknown knowledge from integrated and cleaned organizational data bases. They know the phases of the data mining process, important domains and typical problems as well as current developments of data and Web mining, and are familiar with common data mining tools.
Subject
Data mining process (KDD - Knowledge Discovery in Data); Data mining techniques: Clustering, Classification, Association rules; Data mining applications; Data mining tools; current developments; Case studies and practical scenarios, with a particular focus on web mining.
Further information
Lecture and exercise can be combined to one course.
