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Математическая модель процесса фильтрации сообщений на основе диффузии материалов в тракте обработки

Математическая модель процесса фильтрации сообщений на основе диффузии материалов в тракте обработки

Abstract

В автоматизированных системах фильтрации информации существует проблема оценивания качества ее функционирования, связанная со сложностью классификации конечного продукта информации, а также неопределенностью относительно источников информации. В работе рассматривается математическая модель процесса отбора сообщений на основе диффузии материалов в тракте обработки, учитывающая особенности системы фильтрации множество классификационных признаков и пропускная способность системы фильтрации.

Keywords

система фильтрации сообщений, диффузия, диффузия материалов в тракте обработки, классификация информации

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold