Development and software implementation of a package for solving applied problems in Bayesian networks

Project type: Grant funding for the Science Committee Ministry of Education and Science of the RK

Code of the project: AP05131293 (03.01.2018 – 31.12.2020)

Title: Development and software implementation of a package for solving applied problems in Bayesian networks.

The object of research, development or design:  General theory of Bayesian networks. Development of algorithms for calculations in Bayesian networks. The implementation of algorithms in the program code. Development of graphic modules for working with Bayesian networks. Development of a common ideology of a software package focused on the work of applied researchers. Building a software package in the Windows10 + C # + Visual Studio 2013 environment.

Aim of work: Develop a package of applied programs for working with Bayesian networks, focused on a researcher in the field of applied sciences. Work with the package should not require special programming skills or knowledge of mathematics from the user. The user of the package should be interactive and minimal terminology from mathematics and programming should be used.

Research methods: Research of the world market of software products for working with Bayesian networks, data analysis of software products. Development of algorithms for various calculations in Bayesian networks. Writing software code. Testing, adjustment of algorithms and software code.

Field of application: Dissemination of results of work among potential users, the community of scientists and the general public: The final development of a software product in a generally accessible, standard form, which does not cause difficulties in mastering by specialists in applied fields of science, is assumed.

Project Investigator: Shayakhmetova A.S. (IICT CS MES RK)

The organization – executor: IICT CS MES RK