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Currently, Thinking Maps(TM) which includes eight kinds of sub graphs, has been a set of popular visual tools for learners to achieve the tasks of inductive and deductive thinking, dialogical thinking, metaphorical thinking and systemic dynamic thinking. But many of the researches focus on building these sub graphs manually. In this paper, after analyzing the features of e-Learners' behaviors, a method...
Market basket analysis is an important data mining application for finding correlations between purchasing items in transactional databases. Previous works show that considering constraints which users may concerned with into the mining process can effectively reduce the number of patterns and get more promising information. In this study, we extend the RFM analysis into the mining process to measure...
Mining sequential patterns is an important issue in data mining and has many applications. An extended work of sequential pattern mining, called time-interval sequential pattern mining, is proposed to retrieve time-interval information between successive items. However, previous work only considers single-level time-interval in pattern extraction, which means sequential patterns with cross-level time-intervals...
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