Research On Relationship Clustering Of Basic Education Websites Based On Big Data

The rapid development of information technology and the Internet has been causing an explosive growth in the data types and data volumes of human society,and the age of big data for generating,sharing and applying data has arrived.With the progress of education informationization,a mass of education data generated and reserved in the field of education,and these data are constantly growing rapidly.Educational website,as an important platform for informational process of education of school,has received much attention by a number of basic education schools in recent years.It can plays an important role in displaying the image of school,realizing the informationization of teaching,scientific research,management and training,promoting the common development of teachers and students.At the same time,with the deepening of China's basic education reform,the interaction and cooperation between basic schools has also constantly strengthened.However,there are still many problems in the cooperation,such as the same partners,formalism,inefficiency,and even information isolated island phenomenon.This study attempts to cluster the basic educational websites from the content and links based on the characteristics of the basic educational websites,and to discover common concerns about the teaching and learning between schools.The purpose is to provide support and reference for the interaction and cooperation between basic schools.The main work of this paper contains following aspects:(1)Analyzing the basic theory and algorithm of this research,including big data and related technology,text representation model and website clustering algorithm.(2)Designing and implementing the system based clustering algorithm on big data platform for basic educational websites.The system mainly includes the collection of basic educational websites,the extraction and analysis of website links,the extraction of the contents and theme analysis,the clustering analysis and so on.(3)Discussing the distribution of communities based on website links and the distribution of themes based on website content.This paper then describes the clustering results for basic educational websites,with a results clustering as an example.