Selection: Higher education credits in science and engineering (maximum 240 credits)
28 July 2022 – 5 September 2022
Entry requirements: 120 credits including Data Mining I. Proficiency in English equivalent to the Swedish upper secondary course English 6.
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application or tuition fees. Formal exchange students will be exempted from tuition fees, as well as the application fee. Read more about fees.
Application fee: SEK 900
Tuition fee, first semester:
Tuition fee, total:
About the course
Data mining studies effective methods to find interesting patterns in large data sets. Applications can be found in biotechnology, telecom, commerce, and internet. This course presents advanced methods in data mining covering the fields of web data mining and search engines, spatial and temporal data mining including cluster evaluation and advanced clustering, stream based data mining, and sequential association analysis. Additional areas include advanced association analysis, methods for large-scale data mining, introduction to outlier analysis, and methods for privacy-preserving in data mining.