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This paper improves the learner model of the original remote Chinese teaching platform of self-regulated learning, and in new model, we used the GCA algorithm to takes place the original birch algorithm on learners' model. Improved learner model made a deep division for the learning styles of remote learners, which provides favorable theoretical basis for clustering algorithm.
In personalized education theory, each learner has different behavioral characteristics. From this perspective, the biggest shortcoming of the Chinese learning website is that it couldn't reflect the individuality. Although some websites have classification of Chinese learners, most of them are based on the initial registration information. This paper proposes a grouping algorithm for Chinese learners...
This paper proposed a new anomaly detection algorithm that can update normal profile of system usage pattern dynamically. The feature used to model systempsilas usage pattern was program behavior. When system usage pattern changed, new program behaviors will be inserted into old profiles by density-based incremental clustering. Compared to traditional re-clustering updating, it is much more efficiently...
To meet different applications' requirements, a preference-based fuzzy clustering method is used to pre-classify resources for selection. Meanwhile, a simple and direct algorithm with low complexity is introduced and then improved to compute transitive closure of fuzzy matrix when doing fuzzy clustering so as to realize resources' fast allocation. Experiments prove that resources which meet application...
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