用户聚类,user clustering
1)user clustering用户聚类
1.Research of a user clustering model based on genetic algorithm;一种基于遗传算法的用户聚类模型的研究
2.Application of user clustering based on interest in intrusion detection;基于兴趣的用户聚类分析在入侵检测中的应用
3.The paper presents an ant colony clustering algorithm based on directional similarity according to Web data characteristic of high-dimension and applys to Web user clustering.本文首先针对Web数据高纬的特点,提出一种基于方向相似性的蚁群聚类算法并将其应用于用户聚类;然后针对Web数据的动态性,引入聚类模型维护库,在原有聚类模型的基础上实现增量式用户聚类
英文短句/例句

1.The Study of Clustering Web Users Based on User's Browsing Path基于用户浏览路径的Web用户聚类研究
2.Clustering Web Users Based on Users' Browsing Path一种基于用户浏览路径的Web用户聚类方法
3.Research on Web Users Clustering Based on Web Log Mining基于Web日志挖掘的网络用户聚类研究
4.User clustering method base on page of URL path一种基于URL路径的页面用户聚类方法
5.Research on Users Clustering Strategy and User Interest Model Base on Marketing Database;面向营销数据库的用户聚类策略及用户兴趣模式研究
6.Research of Web User Clustering Model Based on Genetic Algorithm;基于遗传算法的Web用户聚类模型的研究
7.Research on User Interest Clustering Based on Web Log;基于Web日志的用户兴趣聚类研究
8.Research on User Session Identification and Clustering Technology of Web Log Mining;WEB日志用户会话识别及聚类分析研究
9.Research on the Application of Clustering Analysis in Customer Segmentation;聚类分析在客户细分领域的应用研究
10.Research on Algorithm of Web User Browsing Pattern Fuzzy Clustering;Web用户浏览模式模糊聚类算法的研究
11.The Application of K-means Algorithm to Customer Segmentation;K-means聚类算法在客户细分中的应用
12.The Clustering Of The User Nodes Based On Web Services基于Web Services的用户节点聚类
13.A Clustering Model Based on Web Mining for User Behavior一种面向用户行为的Web聚类模型
14.On Web Using Schema Mining Based on the FC-MDE Fuzzy Clustering基于FC-MDE模糊聚类的Web用户模式挖掘
15.Research of User Interests Clustering Algorithm Based on PLSA Model基于PLSA模型的用户兴趣聚类算法研究
16.Research of User Classing Traffic in Reconfigurable Network可重构网络中用户业务聚类方法初探
17.A Study on Classification Method and Application of Customer Value Based on Clustering Analysis and Neural Network;基于聚类—神经网络的客户价值分类方法及应用
18.Clustering User Behavior of Internet Cafes Based on Improved K-means Clustering Algorithm基于改进后的K-means聚类算法的网吧用户行为聚类
相关短句/例句

users clustering用户聚类
1.The paper performs users clustering combining association rules with FCM (Fuzzy C-Means), firstly it uses the transaction of users accessing to construct the association matrix on pages, and calculates the similarity degree of the user access paths based on that, then it uses the FCM algorithm to perform users clustering.结合关联规则与模糊C均值聚类(Fuzzy C-Means,FCM)进行用户聚类,首先将用户访问事务集构造出页面关联矩阵,以此来计算用户浏览路径之间的相似程度,接着利用FCM算法对用户进行聚类。
3)Web users clusteringWeb用户聚类
1.Web users clustering is to divide Web users with different access attributes into different groups and all web users in one group with the same access attributes.Web用户聚类是将具有相似访问特性的用户归在一起,在电子商务的市场分割和为用户提供个性化服务中,能发挥巨大作用。
4)Web user clusteringWeb用户聚类
1.Web user clustering is an important issue in E-commerce.Web用户聚类是指用聚类算法产生用户会话的聚类,是电子商务中的一个重要问题。
5)user transactions clustering用户事务聚类
6)internet user clustering网络用户聚类
延伸阅读

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