Abstract. Efficient processing of top-k queries has become a classical research area. Fagin et al. proposed the “middleware cost” for a top-k query ...
Efficient Top-k Query Algorithms Using K-Skyband Partition | SpringerLink
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In this paper, we investigate the intrinsic relation between top-k queries and K-skyband queries. Based on that relation, we propose a novel algorithm DNRA ( ...
In this paper, we investigate the intrinsic relation between top-k queries and K-skyband queries. Based on that relation, we propose a novel algorithm DNRA ( ...
Abstract—Given a set of objects P and a set of ranking functions F over P, an interesting problem is to compute the top ranked objects for all functions.
Oct 15, 2019 · For a given multi-dimensional data set, a group skyline query returns the optimal groups not dominated by any other group of equal size.
in many applied fields. Fagin et al. [3] proposed an efficient algorithm, the Threshold Algorithm (i.e. TA), to process top-k queries.
In the sequel, we explain the algorithm using the dataset in Figure 13, assuming a top-2 query in. SUB = {1,2} with g(p)=3p[1] + p[2]. SUB-TOPK examines two ...
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Based on these, we propose a novel algorithm: Density Threshold Algorithm (i.e. DTA), which is designed to minimize the useless accesses of a top-k query, and ...
Efficient Top-k Query Algorithms Using K-Skyband Partition · Efficient Top-K Query Algorithms Using Density Index · Parallel Algorithms for Top-k Query Processing.
Abstract—Conventional top-k spatial keyword queries require users to explicitly specify their preferences between spatial prox- imity and keyword relevance.