Period: Autumn 2020, 31/08/20 to 01/11/20
Syllabus: https://kursplan.lnu.se/kursplaner/syllabus-4DV510-1.pdf
Registration deadline: 23/08/20

The course provides an introduction to data mining and its applications, for example: search engines, recommender systems, and text mining. The following topics are covered:
-  Introduction to data mining.
-  The relationship between data mining and machine learning.
-  How to find similar things, e.g., documents and images.
-  How to extract structured data from streams.
-  Link analysis, e.g., PageRank and HITS.
- Clustering algorithms, e.g., EM, Affinity Propagation.
-  Dimensionality reduction, e.g., t­SNE, Self-­Organizing Maps.
-  Extraction of information from text.
-  Applications on the web, e.g., recommendation systems, social network analysis.
-  Data mining from a societal perspective with respect to, e.g., ethical questions, business value, and health.
-  Data quality.
-  Tools and software libraries for data mining.

If you have any questions please contact the course coordinator, Rafael M. Martins (rafael.martins@lnu.se)