Individuation Learning System Based On Web Mining

Followed the in-depth development and the continued popularity of the Internet, the Web has become one of significant methods with which people access to information and learn. However the Web system does only provide the same service to all users. The typical of its services is through the establishment of a Web site to offer the same information to all users so that Web site is passive. But because of the vastly different needs of Web users, Web users want Web System to content them with individuation service. At the same time the increasing of information on WWW makes it necessary to build individuation services. The ordinary system of learning, for varied students'needs in a school, is no longer suitable to their learning, not reflects their individuation. Therefore, the development of individuation learning system has become very important in accordance with the different individual requirements.The purpose and significance of this paper is firstly introduces followed by the research evolvement, the main contents and organizational structure of this paper. And then, the required relevant knowledge, special in methods of data mining and Web mining classification, is presented. Then, an algorithm is brought about to preprocess the data collected from students in our school. A new learning system is designed through the way of the construction site in individuation form. The classical Apriori algorithm has been improved to find the paths accessed frequently by students adopted Individuation Learning System. According to the recommended individuation pages based on association rules a Fuzzy clustering methods is adopted to cluster the similar students and examples are given in the form of pages. At last, the whole work done is sum up.