Next MALOTEC seminar will take place on Thursday, 15 december at 10.30 in room A008.

Professor Kira Adaricheva will give a talk entitled Theoretical background and practical applications of D-basis algorithm for ranking attributes relevant to another attribute.

Abstract:
In this talk we outline some features of the D-basis algorithm developed around 2010 for the retrieval of the implications/association rules from the binary table. We focus on the post-output phase of the analysis, where we rank all attributes in relation to some target attribute. Using this approach we are able to search for gene signatures linked to higher survival rates in cancer patients, temporal weather parameters leading to sea breeze that occurs in the coastal areas, or investigate factors that hinder the success of students majoring in stem disciplines.

Short bio:
Kira Adaricheva is a Full Professor at Department of Mathematics, Hofstra University, Long Island, NY, US. Kira worked as a Senior Researcher in Institute of Mathematics in Novosibirsk in Russia, a visiting scientist at McGill University in Canada, and a programmer in IT industry for four years after moving to US. She held a position of Research Associate Professor at Yeshiva University and Chair of Mathematics at a start-up international university in Astana, Kazakhstan, prior to coming to work at Hofstra in 2016.

She is the author of over 50 published papers in algebra, logic, geometry, combinatorics, artificial intelligence and data analysis and a co-author of The Primer of subquasi-variety lattices. Since 2010 Dr. Adaricheva is developing algebraic methods in Data Science as a co-author of the D-basis algorithm, which was code implemented and tested in collaboration with Dr. O. Segal from CS Department of Hofstra and several undergraduate students. A number of undergraduate honors theses under her supervision were devoted to the development or the application of the D-basis algorithm to data analysis in medical, sociological and weather data. She will be teaching the course of Combinatorial Optimization for new graduate program in Data Science opening in 2021.