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基于动态文本聚类方法的BBS浏览机制研究
引用本文:向永生,赵志伟.基于动态文本聚类方法的BBS浏览机制研究[J].湖南工程学院学报(自然科学版),2008,18(2):64-67.
作者姓名:向永生  赵志伟
作者单位:长沙理工大学计算机与通信工程学院,湖南长沙,410076
摘    要:BBS作为信息交流的重要载体,包含了海量的各方面的信息,如何从中快速的寻找到有用的信息是一个亟待解决的问题.提出一种基于动态文本聚类方法的BBS浏览机制,并给出具体的实现方案,从实验结果可见,分类效率和效果均良好.

关 键 词:动态文本聚类  k-means聚类  web文本挖掘  BBS

Research on BBS Browsing Mechanism Based on Dynamic Text Clustering
XIANG Yong-sheng,ZHAO Zhi-wei.Research on BBS Browsing Mechanism Based on Dynamic Text Clustering[J].Journal of Hunan Institute of Engineering(Natural Science Edition),2008,18(2):64-67.
Authors:XIANG Yong-sheng  ZHAO Zhi-wei
Institution:(Dept. of Computer Science and Communication Engineering, Changsha University of Science and Technology, Changsha 410076, China)
Abstract:BBS is an important carrier for information exchanging and it contains the magnanimous various aspects information.How to seek useful information quickly is a problem which urgently needs to be solved.In this paper,BBS browsing mechanism based on the dunamic text clustering is presented,and a concrete realization plan is produced.From the experimental result,we can get good clustering result.
Keywords:dynamic text clustering  k-means clustering  web text mining  BBS
本文献已被 CNKI 维普 万方数据 等数据库收录!
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