Анализ гранулярных данных и знаний в задачах исследования социально значимых видов поведения

Authors

  • Alena Suvorova
  • Alexander Tulupyev
  • Anton Paschenko
  • Tatiana Tulupyeva
  • Tatiana Krasnoselskikh

Keywords:

information deficiency, data granularity, uncertain knowledge, behavior models, super-short imprecise series, risk estimates, rate estimates

Abstract

The paper considers applied computer science problems related to estimating socially significant behavior parameters in case of initial data or knowledge granularity. The computational and methodological issues arise in intelligent systems that represent and process such data and knowledge are discussed. Several approaches to the issues elimination are proposed. The paper also introduces open research questions related to modeling and estimating the considered type of behavior.

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Published

2010-08-31

Issue

No. 4 (2010)

Section

Unsolved Problems for Young Scientists

License

Public offer

How to Cite

[1]
“Анализ гранулярных данных и знаний в задачах исследования социально значимых видов поведения”, Comput. Tools Educ., no. 4, Aug. 2010, Accessed: Nov. 10, 2026. Available: http://cte.eltech.ru/ojs/index.php/kio/article/view/1228

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