PAULI MIETTINEN

Professori

Professor of Data Science

My research covers data science from method development to applications. The most important fields I have developed methods for are matrix and tensor decompositions over non-standard algebras, redescription mining, and analysis of social networks. Their applications range from data mining, ecological niche modelling, the analysis of parliamentary candidates' opinions, and the analysis of voluntary-based network services to health data analysis.

For more information, please see my home page (link at the end of the page).

Contact info

Organization

Faculty of Science and Forestry, School of Computing

Keywords

Publications

Teaching Activities

I am responsible for coordinating the data science education at School of Computing. Personally I teach Introduction to Algorithmic Data Analysis and Short Introduction to Algorithmic Data Analysis at bachelor's level (in Finnish), and Matrix Decomposition Methods in Data Analysis and Graph Mining courses at master's level (in English).

Research groups and research projects

I am the head for the Algorithmic Data Analysis research group. I am a member of the North Savo Regional SOTE AI Hub project.

Links

Research groups