| SSAS聚类分析算法在顾客分组分析中的应用 |
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| 引用本文： | 王松,黄青松,叶晓波.SSAS聚类分析算法在顾客分组分析中的应用[J].楚雄师范学院学报,2011,26(9):11-16,36. |
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| 作者姓名： | 王松 黄青松 叶晓波 |
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| 作者单位： | 1. 昆明理工大学信息工程与自动化学院,云南昆明,650093
2. 楚雄师范学院计算机信息管理中心,云南楚雄,675000 |
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| 摘 要： | 介绍一种利用数据挖掘技术建立顾客分类分析的挖掘模型。主要介绍了基于Microsoft SQL SERVER Analysis Services(SSAS)的聚类分析算法,以及SSAS聚类分析算法在对某销售信息进行顾客分组分析中的应用,通过分析聚类分析算法挖掘模型所发现的模式,得出了对顾客分类的结果,为销售公司管理层的营销决策提供有力的参考和辅助。
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| 关 键 词： | 数据挖掘 SSAS聚类分析算法 顾客分组 |
Application of SSAS cluster parsing algorithm in customers partitioning analysis |
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| WANG Song,.,;HUANG Qing-song,;YE Xiao-bo.Application of SSAS cluster parsing algorithm in customers partitioning analysis[J].journal of chuxiong normal university,2011,26(9):11-16,36. |
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| Authors: | WANG Song ;HUANG Qing-song ;YE Xiao-bo |
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| Institution: | 1.School of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650093,China; 2.Computer Information Management Center,Chuxiong Normal University,Chuxiong 675000,China) |
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| Abstract: | A model of customers partitioning analysis using data mining technology was described. This paper mainly recommends a cluster parsing algorithm based on Microsoft SQL SERV- ER Analysis Services （SSAS） and its application in customers partitioning of sales information. The results of customer partitioning obtained from the pattern excavated by analyze cluster parsing algo- rithm data mining model, and it provided sufficiently reference and supplement for management＇ s marketing decision - making of a sales company. |
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| Keywords: | Data mining SSAS cluster parsing algorithm customers partitioning |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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