| 基于粗糙集的Web用户的识别与规则提取 |
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| 引用本文： | 管涛,罗建军,冯博琴. 基于粗糙集的Web用户的识别与规则提取[J]. 计算机工程与应用, 2003, 39(25): 114-115,167 |
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| 作者姓名： | 管涛 罗建军 冯博琴 |
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| 作者单位： | 西安交通大学计算机教学试验中心,西安,710049 |
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| 摘 要： | 主要研究对象是电子商务中的用户行为。首先分析了电子商务中的顾客行为,从中提取最有效表达用户的有效特征集,包括条件特征与决策特征,然后利用了粗糙集的方法进行分析,提取用户的行为特征和交易结果之间的规则。这种规则反映了用户的某种偏好与兴趣。实例分析结果证明,该方法比较切实可行。
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| 关 键 词： | 粗糙集 规则提取 访问模式 |
| 文章编号： | 1002-8331-(2003)25-0114-02 |
Web Mining:Discovery of Different Customers and Rules Based on Rough Set Theory |
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| Guan Tao Luo Jianjun Feng Boqin. Web Mining:Discovery of Different Customers and Rules Based on Rough Set Theory[J]. Computer Engineering and Applications, 2003, 39(25): 114-115,167 |
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| Authors: | Guan Tao Luo Jianjun Feng Boqin |
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| Abstract: | This paper concentrates the study on customers' behaviors and rule extraction in e-commerce.Firstly,the paper analyses the characteristics of customers and finds out the most effective characteristic sets including precondition and decision ones,which represent customers' behaviors,then extracts the rules between them based on rough set theory.The example has shown that the new method is practical in some degree. |
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| Keywords: | rough set rule extraction access pattern |
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