Глоссарий





Новости переводов

16 мая, 2024

Редактирование субтитров

14 мая, 2024

Популярные языки в переводах за апрель 2024 года

14 мая, 2024

Услуги переводчика для импортно-экспортных операций

26 апреля, 2024

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25 апреля, 2024

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23 апреля, 2024

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19 апреля, 2024

Переводы в мебельном производстве



Глоссарии и словари бюро переводов Фларус

Поиск в глоссариях:  

Задача принятия решения;

Информационные технологии (словарь)


    Decision problem, английский
      A decision problem may be represented by three elements: a set of valid actions a, a set of states s, and a utility or payoff function u(a, s) >0 for elements in a and s. the problem is to choose the action a when the state s is uncertain. decision support system (dss) a data modeling and reporting system that has been structured to answer specific ongoing business questions or issues. it is usually distinguished from classical is systems by its emphasis on "real-time", or interactive analysis, where the business analyst can use multiple tools on the data to provide answers "now." it should be distinguished from data mining and knowledge discovery in databases (kdd), where the emphasis is on discovering "new" relationships to expand the current data model. see also: data mart, data mining, data warehouse.




    Programming problem, английский

    Decision problem, английский
      A decision problem may be represented by three elements: a set of valid actions a, a set of states s, and a utility or payoff function u(a, s) >0 for elements in a and s. the problem is to choose the action a when the state s is uncertain. decision support system (dss) a data modeling and reporting system that has been structured to answer specific ongoing business questions or issues. it is usually distinguished from classical is systems by its emphasis on "real-time", or interactive analysis, where the business analyst can use multiple tools on the data to provide answers "now." it should be distinguished from data mining and knowledge discovery in databases (kdd), where the emphasis is on discovering "new" relationships to expand the current data model. see also: data mart, data mining, data warehouse.