Learning outcomes

The course aims at giving an overview of the process of knowledge discovery and methods used in it.

Contents

Steps in the process of knowledge discovery: data preprocessing, data mining, post-processing and knowledge utilisation. Preprocessing: data cleaning, integration, transformation and reduction. Data mining methods: association rules, classification and clustering. Post-processing: knowledge evaluation, interpretation and visualisation. Knowledge discovery and data management. Examples of methods of knowledge discovery and their practical applications. Possibly other selected topics in knowledge discovery.

Teaching methods

Teaching method	Contact	Online
Lectures	28 h	0 h
Exercises	14 h	0 h

Teaching language

Finnish

Evaluation

Numeric 1-5.

Recommended year of study

Advanced studies, 3rd year, spring semester or later.

Study materials

To be announced in the lectures.

Belongs to following study modules