Speech by Professor S. O. Kuznetsov at the CORE 2018 Conference

Prof. S.O. Kuznetsov gave a keynote speech "Knowledge Discovery in Complex Data with Pattern Structures" at  CORE 2018 congress held at the Center of Research in Computation of Politechnical Institute of Mexico (CENTRO DE INVESTIGACIÓN EN COMPUTACIÓN (CIC-IPN)) (Mexico city, September 24-27).

Abstract of the talk:

Formal Concept Analysis (FCA) provides a convenient tool for mining dependencies, clusters, and taxonomies from data, however data should be reduced (scaled) to binary form.

Pattern structures is an extension of Formal Concept Analysis that allows direct processing objects with arbitrary ordered descriptions like graphs (ordered by subgraph isomorphism), strings, etc.

We show different models of knowledge discovery like mining implications, association rules, biclusters, taxonomies, classification rules etc. can be performed on complex data using pattern structures. 

Various applications  of these approaches in chemoinformatics, NLP, medical informatics, bioinformatics are considered.