Information Theoretic Data Mining

At the end of the course, students:

• Have a clear understanding of information theory (both algorithmic and Shannon's).

• Have a clear understanding of advanced algorithms for data analysis based on information theory.

• Have an overview of the state of the art in information theoretic data mining.

• Are able to study, understand, and critically assess scientific publications from top journals and proceedings in the field of data mining.

• Are able to write a scientific essay discussing and interpreting the state of the art in the literature.