| Autor: |
Каменева, І. П., Артемчук, В. О. |
| Zdroj: |
Èlektronnoe Modelirovanie; 2022, Vol. 44 Issue 3, p50-64, 15p |
| Abstrakt: |
The problem of informativeness and definition of informative structures is considered in the framework of the modern concept of Big Data Analytics, which integrates a series of approaches, methods, and tools for analyzing structured and unstructured data of large volumes. The main trends and prospects of Big Data Analytics for identifying knowledge and patterns important for decision making are highlighted. The analysis of criteria of informativeness of a set of parameters and the means directed on reduction of dimensionality of space of initial signs is carried out. Possibilities of methods of revealing informative parameters for decisionmaking support within a wide range of ecological and energy security tasks are determined. The general structure and algorithm of construction of a knowledge base for decision-making in conditions of uncertainty and risk are offered. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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