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Анализ качества комплектования библиотечного фонда учебной литературы средствами data Mining

Анализ качества комплектования библиотечного фонда учебной литературы средствами data Mining

Abstract

В статье рассматривается проблема комплектования библиотечного фонда учебной литературы с учётом коэффициента книгообеспеченности дисциплин учебного процесса. Обоснована актуальность задачи разработки и апробации алгоритмов оценки эффективности использования средств финансирования библиотеки по востребованности закупленных учебников. Выявлены факторы, влияющие на востребованность учебной литературы. По данным выданной учебной литературы интегрированной библиотечно-информационной системы методами DataMining на базе платформы Deductor построено дерево решений. По результатам работы алгоритма показаны варианты повышения качества комплектования фонда учебной литературы.

The article considers the problem of acquisition of the library Fund of educational literature with the factor of book procurement disciplines of the educational process. Urgency of the development and testing of algorithms for the estimation of efficiency of use of funds of financing of the library on demand purchased textbooks. Factors that influence on the demand of educational literature. According to the data issued by the educational literature integrated library system using Data Mining methods based on the platform Deductor built decision tree. The output of the algorithm shown the ways to improve the quality of the collection of educational literature.

Keywords

ВОСТРЕБОВАННОСТЬ УЧЕБНОЙ ЛИТЕРАТУРЫ, КНИГООБЕСПЕЧЕННОСТЬ, БИБЛИОТЕЧНЫЙ ФОНД, ИНТЕГРИРОВАННАЯ АВТОМАТИЗИРОВАННАЯ ИНФОРМАЦИОННАЯ СИСТЕМА (ИАИС), ЭФФЕКТИВНОСТЬ ФИНАНСИРОВАНИЯ БИБЛИОТЕКИ, ДЕРЕВО РЕШЕНИЙ, INTEGRATED AUTOMATED INFORMATION SYSTEM (ИАИС)

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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!
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Average
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