带聚类处理的元搜索引擎的设计与实现  

Design and Implementation of Meta Search Engine with Clustering Processing

作　　者：王琼[1] 吕晓猛[1] 蒋玉峰[1] 陆刚[1] 

机构地区：[1]常熟理工学院信息化办公室,江苏常熟215500

出　　处：《常熟理工学院学报》2010年第2期99-104,共6页Journal of Changshu Institute of Technology

基　　金：江苏省现代教育技术研究"十一五"规划2009年度滚动立项课题(2009-R-14012);常熟理工学院教育教学改革项目(CITJGN200816)

摘　　要：在元搜索引擎技术和数据挖掘技术的基础上,结合关联规则与FCM(模糊C均值聚类,Fuzzy C-Means)提出一种基于关联词矩阵的结果模糊聚类优化方法——FCMAWM(FCM basedon Associated Word Matrix),并详细描述其过程.基于该算法设计并实现了一个带聚类处理的元搜索引擎系统CMES,介绍了该系统的设计总体框架,并对其进行测试及分析,结果证明该系统在提高用户检索效率的同时,有效地提高了查全率及查准率.By researching on meta search engine technique and data mining technique, this paper presents an optimization method of the results fuzzy clustering that is based on associated word matrix combining with association rules and FCM （Fuzzy C-Means）, named as FCMAWM （FCM based on Associated Word Matrix）, and describes operation steps in detail. It designs and implements a meta search engine system with clustering called CMES based on FCMAWM, and describes the general framework of the system in detail. A further test of the system is made and its result is analyzed. It demonstrates that it can efficiently improve users＇search efficiency, the recall and the precision,

关 键 词：元搜索引擎 聚类 关联规则 模糊C均值 关联词矩阵 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]