Seminar: Towards a catalog of modeling patterns for knowledge discovery with Relational Concept analysis

Abstract

    Developing both structured and unstructured representations,
including explicit versus implicit knowledge, as well as white-box
versus black-box approaches is a richness for Knowledge Discovery (KD).
Formal Concept Analysis (FCA) is positioned at the spectrum end which
focuses on complex data, structured representations, explicit knowledge,
explainable results and white-box approaches. More and more connections
are also made with other methods in the whole KD spectrum. Relational
Concept Analysis (RCA) extends FCA by highlighting knowledg