Summary: A meetup for experts and non-experts in the fields of Self-Organizing Data Mining, Model Based Business Games, Predictive Analytics and Business Analytics. It is a chance for everyone to get to know Multi-stage selection procedures and see how are they superior to both evolutionary algorithms, genetic algorithms and neural networks. The lecture will finish with a special demonstration of modelling software Insights (previously known as KnowledgeMiner).

About the presenter: Professsor Mihail Motsev is a professor in Quantity Methods and Information Systems at the Business Faculty, WALLA WALLA UNIVERSITY, College Place, WА, USA. He has authored and co-authored over 90 publications and 5 books in the area. Since 2004 professor Motsev has been leading small scientific projects in the areas of Self-Organizing Data Mining, Model Based Business Games and Predictive Analytics. One of his main topics of research is Management games with imitation models based on the principles of self-organization. In 2013 he was nominated at the annual general assembly meeting of the ISAGA and elected as a member of the ISAGA International Advisory Council.

Time: 23rd November 2015, 19:00

Venue: University of National and World Economy (UNWE/УНСС), Hall P035