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Programming skill is crucial for all Computer Science students which can only be mastered through intensive exercise practice. Apart from traditional face-to-face manner of teaching programming, with the recent advancement of Internet and advanced program verification techniques, Web-based tutoring systems that can play the role of teacher are increasingly considered. In this paper, we suggest a framework...
Association rule mining is a well-known data mining task for discovering association rules between items in a dataset. It has been successfully applied to different domains especially for business applications. However, the mined rules rely heavily on human interpretation in order to infer their semantic meanings. In this paper, we mine a new kind of association rules, called conceptual association...
The content of a text is mainly defined by keywords and named entities occurring in it. In particular for news articles, named entities are usually important to define their semantics. However, named entities have ontological features, namely, their aliases, types, and identifiers, which are hidden from their textual appearance. In this paper, we explore weighted combinations of those latent named...
Traditional keyword-based document clustering techniques have limitations due to simple treatment of words and hard separation of clusters. In this paper, we introduce named entities as objectives into fuzzy document clustering, which are the key elements defining document semantics and in many cases are of user concerns. First, the traditional keyword-based vector space model is adapted with vectors...
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