| 运用数据挖掘技术预测客户购买倾向--方法与实证研究 |
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| 引用本文： | 王萍.运用数据挖掘技术预测客户购买倾向--方法与实证研究[J].情报科学,2005,23(5):738-741. |
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| 作者姓名： | 王萍 |
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| 作者单位： | 吉林大学,管理学院,吉林,长春,130025 |
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| 摘 要： | 商家大部促销行为，其实都是针对客户的促销，分类模型的主要功能是根据客户数据的属性将他们分派到不同的组中。本文提出利用数据挖掘技术建立客户购买意向分类模型，利用这种分类模型可以预测客户的购买倾向。
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| 关 键 词： | 数据挖掘 客户 购买倾向 |
| 文章编号： | 1007-7634(2005)05-0738-04 |
| 修稿时间： | 2004年12月15 |
Forecasting Customer Purchase Trend Based on Data Mining Technology Method and Case Study |
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| WANG Ping.Forecasting Customer Purchase Trend Based on Data Mining Technology Method and Case Study[J].Information Science,2005,23(5):738-741. |
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| Authors: | WANG Ping |
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| Abstract: | The goal of market promotion is to evoke consumers' buying interest and passion in order to sell them more products. It is important to lockup consumers in any sale promotion campaign. Classification model aims to classify the records into designate group according to data feature. Such classification model has forecast function also. In this study, the author initiates the research method to forecast customers' purchase trend based on classification and prediction model. The author validated the method by empirical work with a part of real data from a large retail supermarket database. |
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| Keywords: | data mining customer purchasing trend |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
