四月算法执行基于基于工会规则搜索系统的机油销售数据

Jorza Rulianto, W. Mustika
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引用次数: 4

摘要

数据挖掘技术用于通过利用公司中已有的销售交易数据来设计有效的销售或营销策略。公司存在的问题是有很多未知的数据交易发生,造成数据的积累未知的销售最多在每个月&年,未知品牌的车油经常被客户销售或需求。因此,这种关联搜索使用先验算法作为存储数据的地方,使用静态和数学技术等模式识别技术从一组项目之间的关系(关联)中获得数据,预计可以帮助开发人员为公司中的商品设计营销策略。已做的软件测试结果发现,销量最高的机油品牌产品,如果购买壳牌Hx7,将以50%的支持度和66.7%的置信度购买丰田机油。如果你购买丰田机油,你将以50%的支持度和85.7%的信心购买壳牌hx7。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementasi Algoritma Apriori Terhadap Data Penjualan Oli Mobil Berbasis Sistem Pencarian Aturan Asosiasi
Data mining techniques are used to design effective sales or marketing strategies by utilizing sales transaction data that is already available in the company. The problem in the company is that there are many data transactions that occur unknown, causing an accumulation of data unknown sales most in each month & year, unknown brands of car oil are often sold or demanded by customers. So this association search uses a priori algorithm as a place to store data using pattern recognition techniques such as static and mathematical techniques from a set of relationships (associations) between items obtained, it is expected that can help developers in designing marketing strategies for goods in the company. Software testing results that have been made have found the most sold oil brand products if you buy Shell Hx7, it will buy Toyota Motor Oil with 50% support and 66.7% confidence. If you buy Toyota Motor Oil, you will buy Shell Hx 7 with 50% support and 85.7% confidence.
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