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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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We present a model for a predictability analysis of various data types, which may be used to manage different real information systems. The models are “adaptive” in a sense of an absence of the fundamental assumptions about the probability distributions of the data. We present a special software tool based on the method of moving separation of the finite probability mixtures to ascertain the possibility of forecasting for the data.