New Multi-dimensional Association Rule in Mobile-Learning System

With the rapid development of Internet, mobile-learning system has created new ways for educators to communicate with learners. Mobile-learning as a new mode of learning, the relationship between the study object and the subject and among the study main body and among the study object show multiple interaction and the construction, etc. This study model shows the advantages that the traditional model difficult to catch up with. Association rule mining is one of the most important fields in data mining and knowledge discovery in databases. Since mobile-learning system collects vast amounts of learners profile data, data mining and knowledge discovery techniques can be applied to find interesting relationships between attributes of learners, assessments, the solution strategies adopted by learners and so on. This paper puts forward an algorithm of mining multi-dimensional association rule based on the combination of genetic algorithm and neural network (NGA). The new algorithm has the outstanding feature of fast searching. The experimental results show that this new algorithm has proven its significant performance in the sparse multidimensional association rule mining.