Application of algorithms for associative rules searching for formation of functionally effective team of managers

Abstract

Subject: methods of forming the role composition of management teams for large projects. Purpose: to analyze the possibility of using algorithms for searching for association rules for the formation of functionally effective teams of managers. Research design: at the present stage of business development, specialized teams of managers are responsible for project management within large companies. To achieve effective, coordinated work of such teams, their role composition is very important. There are a number of methodological approaches that offer a generalized system of team roles for managers and ways to test the level of expression of these roles in a team team. Each member of the team, as a rule, has a certain role, the techniques make it possible to single out the main and supporting roles. There are data mining tools, on the base of which based on the analysis of effective teams of managers. They make it possible to make recommendations about the system of main and supporting roles for effective coordinated team work. Results: the authors developed software and carried out a computational experiment on the application of the Apriori algorithm for searching for association rules to create teams and form current changes in existing team compositions. The use of algorithms tested in the work will allow to build a system of recommendations in a formalized way to manage the composition of management teams.