53770

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Alignment of cluster complexity at network systems

ISBN/ISSN: 

1451-2092

DOI: 

10.5937/fmet1904711E

Наименование источника: 

  • FME Transactions

Обозначение и номер тома: 

Volume 47, Issue 4

Город: 

  • Belgrade

Издательство: 

  • Belgrade University

Год издания: 

2019

Страницы: 

711-723
Аннотация
This paper considers data management structures and cluster technologies in large-scale networks. Suboptimal network partitioning problems are formulated on the base of complexity index alignment. We propose methods for these problems solving, in particular the data clusters number and its boundaries determining. We describe a multi-stage iterative scheme for the semantic data mining from a large document with interdependent sections as well. At the first stage, a priory data mining complexity from these sections is estimated. Then we refine this complexity taking into account the revealed data mining from the adjacent sections. Based on this, the final partitioning of the data set of a big document into clusters is formed under circumstances of deadline and restrictions on financial resources. The proposed methods have been applied in some large-scale transport projects.

Библиографическая ссылка: 

Еналеев А.К., Цыганов В.В. Alignment of cluster complexity at network systems // FME Transactions. 2019. Volume 47, Issue 4. С. 711-723.