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基于OLAM的聚类关联挖掘在交叉销售中的研究应用
引用本文:王万川,吴陈,陆在研.基于OLAM的聚类关联挖掘在交叉销售中的研究应用[J].计算机与数字工程,2012,40(4):66-68,84.
作者姓名:王万川  吴陈  陆在研
作者单位:1. 江苏科技大学计算机科学与工程学院 镇江 212003
2. 南京审计学院数学与统计学院 南京 211815
摘    要:OLAM(On-line Analytical Mining)是当前的热点技术,是融合了联机分析处理(OLAP)和数据挖掘(Data Mining)的一种新的数据挖掘技术。该文主要针对商业中的交叉销售问题,提出一种基于销售多维数据集的聚类关联规则OLAM挖掘模型。利用SQL Server Analysis Services(SSAS)平台的数据挖掘工具,实现了该OLAM聚类关联挖掘模型,利用该模型的挖掘模式获得了对客户交叉销售的推荐方案。

关 键 词:数据挖掘  联机分析挖掘  聚类分析  关联规则  交叉销售

Research Application in Cross Selling Based on Clustering Association Mining of OLAM
WANG Wanchuan , WU Chen , LU Zaiyan.Research Application in Cross Selling Based on Clustering Association Mining of OLAM[J].Computer and Digital Engineering,2012,40(4):66-68,84.
Authors:WANG Wanchuan  WU Chen  LU Zaiyan
Affiliation:1.School of Computer Science and Technology,Jiangsu University of Science and Technology,Zhenjiang 212003)(2.School of Mathematics and Statistics,Nanjing Institute of Audit,Nanjing 211815)
Abstract:OLAM(On-line Analytical Mining)is a currently hot technology.OLAM is a new mining method which fuses the advantages of OLAP and data mining.According to the cross selling problems,this paper puts forward a OLAM model of clustering association based on a sales cube,and then realizes the mining model by using the data mining tool of SQL Server Analysis Services.The recommendation of cross selling for the customer can obtained by taking advantage of the association pattern which can be got from the OLAM mining model。
Keywords:data mining  OLAM  clustering analysis  association rules  cross selling
本文献已被 CNKI 维普 万方数据 等数据库收录!
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