基于灰色关联聚类和数据挖掘的信息技术在企业电子商务中的应用

Zhiming Qu
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引用次数: 3

摘要

挖掘数据库中不良信息的隐含规律是当前需要解决的重要问题。聚类分析在数据挖掘中起着非常重要的作用。灰色趋势关系系统中涉及到的灰色趋势关系聚类是发现不良信息从而发现有用信息进行决策的一种很好的方法,也是数据挖掘中的一种实现和发展。结合灰色趋势关系,运用一般数学系统理论,建立了GTR系统模型。通过对销售系统数据的分析可以看出,不同的商品在销售增量上有一些相似之处,也有一些不同的分类。通过与实际销售记录的比较,发现GTR聚类的结果与销售系统中的调查结果一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Information Technology in Enterprise E-Commerce Based on Grey Relational Clustering and Data Mining
Mining the implicit laws of poor information in the database is the important problems which need to be solved presently. Clustering analysis plays very important role in mining the data. The grey trend relation (GTR) clustering involved in the grey trend relation system is a good way to find the poor information in order to find the useful information to make decision, which is also an implement and development in data mining. Combining with the grey trend relation and using the general mathematical system theory, the GTR system model are setup. Through analyzing the data of sale system, it is can be seen that some different commodities in sale increment are similar and there are a few of different classification. Comparing with the real sale records, it is found that the results by the GTR clustering are in keeping with the investigation in the sale system.
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