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• W2982436716 abstract "An m-Closest Keywords (mCK) query is a typical kind of spatial keyword queries for geo-textual objects. This query aims to find a set of geo-textual objects (object-set) that are close together and collectively cover m user-given keywords. It uses the 'diameter' of object-set to measure its closeness and find the set of objects that minimizes the diameter as a result. Up to now, most of the studies on mCK query problem focused on finding the optimal result, but in many application domains, users may be more interested in the k highest ranked results instead of one result. Thus in this paper, we propose the issue of top-k mCK queries and a top-down algorithm by using a Hilbert R-tree. Our experimental results show that our exact algorithm can effectively find the top-k results for this issue." @default.
• W2982436716 created "2019-11-08" @default.
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• W2982436716 date "2019-08-01" @default.
• W2982436716 modified "2023-09-23" @default.
• W2982436716 title "An Object-Pair Driven Approach for Top-k mCK Query Problem by Using Hilbert R-Tree" @default.
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• W2982436716 doi "https://doi.org/10.1109/trustcom/bigdatase.2019.00093" @default.
• W2982436716 hasPublicationYear "2019" @default.
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