SGN-43006 Knowledge Mining and Big Data, 5 cr
Lessons
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Description:
Learning outcomes: The student can describe the difference between data and knowledge mining. The student can list and describe OLAP, association, predictive modeling, modeling, regression analysis and cluster analysis. The student can analyse the own problem and apply the lectured method on it. The student is capable to analyse the proposed solutions.
Person responsible:
Ari Visa
Target groups:
Information Technology
International Students
Jatkotutkinto-opiskelijat
Signaalinkäsittely ja tietoliikennetekniikka
Sähkötekniikka
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course