The Application Of Web Data Mining Technology On Network Education BBS

With the rapid development of the Internet, Network Education BBS gradually has become an educational resource platform and get full grandness, become people especially teachers' and students' daily study, learning, an indispensable tool. Network education BBS especially with professional direction extremely relevant BBS web site has a large study and professional research posts, these post itself is extremely good education resources. Compared with Comprehensive network education BBS and professional network education BBS, the former contain more ideas content, while the latter is more talked about professional knowledge. A topic widely discussed in depth will make it a hot topic and received extensive attention. Due to the large number of posts, hand-statistical analysis has not met the post page. Web data mining technology development, make in-depth research and analysis education BBS posts content becomes possible, provides researchers with strong technical support. Using Web data mining technology research on hot topics, which about the exchange of ideas, or learning in professional research, and the research results feedback in education teaching activities, which is a positive and useful changes in education to explore ways to accelerate the process of modernization of education is important.This article is about Web Data Mining Technology's Applied Research on the network education BBS. This paper choose Peking University Chinese BBS of Chinese information processing edition board as the research object, mining hot topics on BBS, provide supplementary and expand for educating and teaching in class, accelerate education mode transformation.This paper mainly completed the following job:(1) Get Web text data is the first step of Web data mining, this study realized the program download page using Web crawlers, use the DOM tree and regular expressions to parse HTML code to obtain part Web page text that we need. In large-scale web crawling, HTML parsing, for the collected data cleaning, for mining target data choice, then choose deposited in the local database.(2) Improved and realized forward maximum matching algorithm for Chinese segmentation, the words have a better coarse granularity, coarse granularity the design of the Chinese word segmentation dictionary is well supported the realization of the algorithm. The Chinese word segmentation for subsequent text similarity calculation, K - means clustering algorithm for mining etc, are the basic work of step is very important. (3) Realization and implementation of the classical K-means clustering algorithm for mining. Found in network education BBS of hot topics and found hot words by the Chinese word segmentation. Education BBS hot topic for discussion is focused on the network which, to judge and understand the hot topic, you can grasp the topic of the development direction of research in education BBS in which people learn to respect.(4) According to the mining results, targeted to make good use of the two platforms both inside and outside the classroom, enriching the "imparting knowledge and answering questions" the ways and means of classroom teaching is only important part of the work, through the network Education BBS to resolve the problems encountered in student learning is positive and useful changes in educational teaching methods to explore.