Shiying Luo

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Data classification is an important application in the domain of cognitive computation, which has various applications. In this paper, we use classification techniques to solve some key issues in answering range query over probabilistic data. The key of answering this query is to store the feature of each uncertain object in a lightweight structure and use(More)
This paper studies the problem of probabilistic range query over uncertain data. Although existing solutions could support such query, it still has space for improvement. In this paper, we firstly propose a novel index called S-MRST for indexing uncertain data. For one thing, via using an irregular shape for bounding uncertain data, it has a stronger space(More)
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