36068

Автор(ы): 

Автор(ов): 

4

Параметры публикации

Тип публикации: 

Тезисы доклада

Название: 

Intellectual processing methods of qualitative data

Наименование конференции: 

  • International Conference IIP-10 (Moscow, 2014)

Наименование источника: 

  • Proceedings of the International Conference IIP-10

Город: 

  • Moscow

Издательство: 

  • Torus Press

Год издания: 

2014

Страницы: 

53-54
Аннотация
Intellectual processing of qualitative data problem was investigated. Two examples of the states of the problems and algorithms for qualitative data processing, presented in the form of the equity-type characteristics and the large dimension empirical graphs was considered. The methodology of data mining (group) characteristics of equity-type (equivalent blurred classifications) was developed, this method was tested on real data. The possibilities of the exact and approximate representation of the large dimension graph through its description were studied. The optimization approach to the construction of the fuzzy classification was distributed to the problem of aggregation. In the framework of the structural-classification mining methodology of complex data the original information processing algorithms by large dimension graphs aggregation methods were developed. The ordered fuzzy classification and aggregate graphs descriptions problems relationship was considered. The developed algorithms computer simulation was held.

Библиографическая ссылка: 

Покровская И.В., Гольдовская М.Д., Дорофеюк Ю.А., Киселева Н.Е. Intellectual processing methods of qualitative data / Proceedings of the International Conference IIP-10. Moscow: Torus Press, 2014. С. 53-54.