36119

Автор(ы): 

Автор(ов): 

4

Параметры публикации

Тип публикации: 

Тезисы доклада

Название: 

Structural classification data mining techniques for weakly formalized control systems.

Наименование конференции: 

  • 17-th All-Russian Conference "Mathematical Methods for Pattern Recognition" (Moscow, 2015)

Наименование источника: 

  • Abstract Book of the 17th All-Russian Conference with International Participation "Mathematical Methods for Pattern Recognition" (Moscow, 2015)

Город: 

  • Moscow

Издательство: 

  • Torus Press

Год издания: 

2015

Страницы: 

234-235
Аннотация
The paper discusses the features of the structural classification data analysis methods and algorithms implementation and practical application for the analysis and synthesis of weakly formalized management systems. Including the methods: structuring parameters; the objects classification (clustering); the time series dynamic structural classification analysis; the complex nonlinear dynamic object models piecewise approximation. These features were used to create software- algorithmic complex (SAC) with smart interface, user-centered of a subject. In developing this complex, special attention was paid to problems in which the studied objects have a pronounced territorial structure. Developed SAC was used to solve a wide class of applied problems, including the study of biomedical, social, economic and financial systems; in the management problems of the regional health-care systems and specific medical institutions, regional passenger transport, etc.

Библиографическая ссылка: 

Дорофеюк А.А., Дорофеюк Ю.А., Покровская И.В., Чернявский А.Л. Structural classification data mining techniques for weakly formalized control systems. / Abstract Book of the 17th All-Russian Conference with International Participation "Mathematical Methods for Pattern Recognition" (Moscow, 2015). Moscow: Torus Press, 2015. С. 234-235.