关联规则挖掘在超市中的应用研究  

Application Mining of Association Rules in Supermarket

作　　者：亓文娟[1] 晏杰[2] 

机构地区：[1]武夷学院数学与计算机系,武夷山354300 [2]武夷学院团委,武夷山354300

出　　处：《吉林师范大学学报（自然科学版）》2013年第2期138-141,共4页Journal of Jilin Normal University:Natural Science Edition

摘　　要：关联规则挖掘在数据挖掘中占有极其重要的地位,本文深入研究了关联规则经典算法Apriori算法的基本思想,并通过实例说明发现频繁项集及生成关联规则的方法,最后将关联规则挖掘应用于超市的销售数据,从大类与大类之间及所有商品之间两个方面进行挖掘,通过对挖掘结果的分析,给出了相关的建议,为超市提供辅助决策信息.Mining of association rules in data mining plays an important role. idea of the classical association rules Apriori algorithm and found the frequent rules method by the examples, finally applied the association rule mining in associated with the categories and between all commodities. According to the relevant recommendations and provide decision-making information for the su In this paper, we studied the basic item sets and generating association supermarket sales data, two aspects results of the analysis, we gave the permarket.

关 键 词：关联规则 APRIORI算法 CLEMENTINE 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]