| 一种基于客户模糊聚类的知识需求分析方法 |
| |
| 引用本文： | 吴春旭,石辉,蒋宁.一种基于客户模糊聚类的知识需求分析方法[J].计算机系统应用,2010,19(1):104-107. |
| |
| 作者姓名： | 吴春旭 石辉 蒋宁 |
| |
| 作者单位： | 1. 中国科学技术大学管理学院,安徽,合肥,230026
2. 安徽大学管理学院,安徽,合肥,230039 |
| |
| 摘 要： | 提出了一种引入信息熵的改进型模糊C均值聚类算法,用来对企业客户进行模糊聚类,以分析获取客户的知识需求,为客户提供个性化的知识推送服务。通过实验分析,证明了该方法的有效性,从而提高了企业知识推送的及时性和准确性。
|
| 关 键 词： | 知识需求 知识推送 信息熵 模糊聚类 FCM |
| 收稿时间： | 2009/4/10 0:00:00 |
A Method of Knowledge Demand Analysis Based on Customers Fuzzy Clustering |
| |
| WU Chun-Xu,SHI Hui and JIANG Ning.A Method of Knowledge Demand Analysis Based on Customers Fuzzy Clustering[J].Computer Systems& Applications,2010,19(1):104-107. |
| |
| Authors: | WU Chun-Xu SHI Hui and JIANG Ning |
| |
| Affiliation: | WU Chun-Xu~1,SHI Hui~1,JIANG Ning~2 (1.School of Management,University of Science , Technology of China,Hefei 230026,China,2.School of Management,Anhui University,Hefei 230039,China) |
| |
| Abstract: | In this paper,the fuzzy C-means clustering algorithm is improved for enterprise customers fuzzy clustering by introducing the concept of information entropy.Based on this,it's easy to analyze the customers' knowledge demand and provide targeted knowledge push services.The experiment proves that the method is effective and has improved the timeliness and accuracy of the enterprise knowledge push services. |
| |
| Keywords: | knowledge demand knowledge push information entropy fuzzy clustering |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机系统应用》浏览原始摘要信息 |
|
点击此处可从《计算机系统应用》下载全文 |
|
