Xianquan Liu

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Usually, data mining is considered as the nontrivial extraction of implicit, previously unknown, and potentially useful information from data. In our data-driven data mining model, knowledge is originally existed in data, but just not understandable for human. Data mining is taken as a process of transforming knowledge from data format into some other human(More)
The classical rough set theory developed by Prof. Z.Pawlak can't process incomplete information systems directly. A new method based on fuzzy-clustering is proposed in this paper. The nonequivalence relation defined in incomplete information systems is transformed into an equivalence relation at first, then the variable upper-approximation, variable(More)
The fuzzy quotient space model is a hybrid model between quotient space theory and fuzzy set theory, which are two important methods in granular computing models, and it is based on fuzzy equivalence relation. There are many algorithms with high complexity for computing the fuzzy equivalence matrices. A new algorithm is proposed to compute the fuzzy(More)
While emerging technologies continue to emerge, research into their use in learning contexts often focuses on a subset of educational practices and ways of using technologies. In this study we begin to explore the extent to which educational designs are influenced by larger societal and education-related factors not usually explicitly considered when(More)
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