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Прогнозирование успеваемости студентов на основе методов кластерного анализа

Прогнозирование успеваемости студентов на основе методов кластерного анализа

Abstract

Предложена методика прогнозирования успеваемости студентов на основе ме- тодов кластерного анализа. Приведены результаты проведенного эксперимента, подтвер- ждающие эффективность разработанной методики прогнозирования успеваемости.

The method of prognostication of students progress on the basis of methods of cluster analysis has been offered. The results of the experiment confirming the efficiency of the developed method of prognostication have been given.

Keywords

прогнозирование, успеваемость, кластерный анализ, матрица исходных дан- ных, матрица расстояний

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    popularity
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    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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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
bronze