Design and Implementation of Meta Search Engine with Clustering Processing
Gang Lü · Journal of Changshu Institute of Technology · 2010
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.