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首页> 外文期刊>International journal of knowledge engineering and soft data paradigms >Library material acquisition based on association rule mining
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Library material acquisition based on association rule mining

机译:基于关联规则挖掘的图书馆资料获取

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摘要

Allocation of budget is important to maintain the quality of a library and is related to the materials used in a library. However, to allocate appropriate budget for an academic library we need to derive the usage of the materials. This paper offers a model for automated budget allocation that is based on the knowledge discovery using association rules. Processing the circulation data of library to extract the statistics and association utilisation of the materials for departments is a great achievement which makes the analysis easier for calculating material utilisation for the budget allocation. This paper is based on database of the North South University Library, which is one of the first fully automated private university libraries in Bangladesh. The findings and results of this work can be used to accomplish more efficient management and budget allocation of the North South University Library.
机译:预算分配对于维持图书馆的质量很重要,并且与图书馆使用的材料有关。但是,要为高校图书馆分配适当的预算,我们需要得出材料的使用情况。本文提供了一种自动预算分配模型,该模型基于使用关联规则的知识发现。处理图书馆的流通数据以提取部门的物料的统计数据和关联利用率是一项伟大的成就,这使得分析更容易计算预算分配中的物料利用率。本文基于北南大学图书馆的数据库,该图书馆是孟加拉国最早的全自动私立大学图书馆之一。这项工作的发现和结果可用于完成北南大学图书馆的更有效的管理和预算分配。

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