基于FP-Growth算法的药品采购系统模式分析

Zulham Zulham, Ega Evinda Putri, Buyung Solihin Hasugian
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引用次数: 1

摘要

棉兰马雷兰保健中心是棉兰市的保健中心之一。药品的供应被认为是必要的,以便在任何时候仍然可以获得各种类型和功能的药品。为了避免在分发药品和预测Puskesmas药品供应方面遇到困难,使用数据挖掘方法进行了研究。在本研究中,将对关联规则进行测试,该规则用于解决药品采购系统模式的问题,并将显示每个数据挖掘过程的支持值和置信度信息。本研究试验采用Weka软件确定采购时经常需要的药品。FP-Growth算法各阶段获取的信息用于在药品采购中产生模式,利用FP-Growth算法方法形成了一个项目集组合模式,使本研究的结果能够有效、高效地用于药品供应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pattern Analysis of Drug Procurement System With FP-Growth Algorithm
The Medan Marelan Health Center is one of the health centers in the city of Medan. The supply of medicines is considered necessary so that these medicines can still be available at any time with various types and functions. In order not to experience difficulties in distributing medicines and anticipating the supply of medicines in the Puskesmas, research was carried out using the Data Mining method. In this study, a test will be carried out on the Association Rule which is used as a solution to problems with the pattern of the drug procurement system, and will display information about the value of support and confidence from each Data Mining process. Tests in this study using Weka Software to determine the procurement of drugs that are often needed. Information obtained from the stages of the FP-Growth Algorithm is to produce patterns in the procurement of medicines, and an itemset combination pattern has been formed using the FP-Growth Algorithm method so that the results of this study can be used in drug supply effectively and efficiently.
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