Analysis of relationships in data is very important for knowledge extraction in all areas of human activity.
In this tutorial, the different approaches to the analysis of relationships in data will be considered.
The main attention will be paid to the measures of similarity, correlation, and associations, and to the fuzzy-probabilistic models of subjective information modeling.
The functional algebraic approach to the construction and analysis of such measures and models will be discussed.
Their application to different data types will be considered.
The tutorial could be interesting for postgraduate students and researchers.

Target Audience

Pre-requisites

Technical requirements