Research Of Education Web Clustering Analysis Based On Formal Concept Analysis

With the fast development of computer technology, communication technology and Internet technology, we have entered the information age network, information on the Internet at an explosive rate, to provide users with a large, fast and convenient information sharing platform. However, the rapid growth of information has brought us convenience, Users to the faster and accuracy of the information they want will get more and more difficult, Therefore, how to quickly and efficiently search and access information in various fields has become an urgent need to address important issues.In recent years, China's rapid development of online educational resources, and a number of outstanding sites. But generally speaking, our online education resources are still inadequate. Lack the rich resources of taxonomy as an educational portal basis. In view of this situation, in response, the portal has become the trend of building. We must strengthen the construction of the various areas of resources. this educational Web resources for the cluster analysis. Use of software tools for data collection network resources, in the form of conceptual analysis, based on the use of some tools on the Web cluster. Web resources for network clustering analysis of a theoretical and practical research. Web resources for education focus on multi-attribute, personalized clustering analysis, for better organization of information for the construction of the education portal.This article made use of the FCA concept lattice tool for cluster analysis, feature association, and statistics were studied. carried out with the user interest key education-related Web resources, the choice of acquisition and property overlap and look through the tools and analyzed. Web resources for education cluster analysis were applied FCA, attributes associated with Web resources on the FCA personalized clustering, enabling users to more clearly, convenient access and retrieve content.