计算机系统应用
計算機繫統應用
계산궤계통응용
APPLICATIONS OF THE COMPUTER SYSTEMS
2010年
1期
104-107
,共4页
知识需求%知识推送%信息熵%模糊聚类%FCM
知識需求%知識推送%信息熵%模糊聚類%FCM
지식수구%지식추송%신식적%모호취류%FCM
knowledge demand%knowledge push%information entropy%fuzzy clustering
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.
提齣瞭一種引入信息熵的改進型模糊C均值聚類算法,用來對企業客戶進行模糊聚類,以分析穫取客戶的知識需求,為客戶提供箇性化的知識推送服務.通過實驗分析,證明瞭該方法的有效性.從而提高瞭企業知識推送的及時性和準確性.
제출료일충인입신식적적개진형모호C균치취류산법,용래대기업객호진행모호취류,이분석획취객호적지식수구,위객호제공개성화적지식추송복무.통과실험분석,증명료해방법적유효성.종이제고료기업지식추송적급시성화준학성.
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.
