Courses
DAMIN 2025

Data Mining KSD (Autumn 2025)

Description

This course gives an introduction to the field of data mining. The course is relatively practically oriented, focusing on applicable algorithms. Practical exercises will involve both use of a freely available data mining package and individual implementation of algorithms.

The course will cover the following main topics:

  • The data mining process
  • Cluster analysis
  • Data pre-processing
  • Pattern and association mining
  • Classification and prediction

Application examples will be given from domains including demographics, image processing and healthcare.

After the course, the student should be able to:

  • Analyze data mining problems and reason about the most appropriate methods to apply to a given dataset and knowledge extraction need.
  • Implement basic pre-processing, association mining, classification and clustering algorithms.
  • Apply and reflect on advanced pre-processing, association mining, classification and clustering algorithms.
  • Work efficiently in groups and evaluate the algorithms on real-world problems.

Staff

Supporting Materials

docs