Webb10 sep. 2001 · TL;DR: A skyline algorithm, SFS, based on presorting that is general, for use with any skyline query, efficient, and well behaved in a relational setting is proposed. Abstract: The skyline, or Pareto, operator selects those tuples that are … Webb13 aug. 2024 · In this paper, we consider an efficient parallel algorithm for the “K-skyband query” and the “top-k dominating query”, which are popular variants of skyline query.
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Webb16 sep. 2011 · Log Sampling (LS) and Kernel-Based ( KB) skyline cardinality estimation are the two state-of-the-art skyline cardinality estimation methods. LS is based on a hypothetical model A (log ( n )) B. Since this model is originally derived under strong assumptions like data independence between dimensions, it does not apply well to an … WebbHowever, most real-world applications constrain the distance between query location and data objects by a road network, where distance between two points is defined by the shortest connecting path. This paper proposes geo-social top- k keyword queries and geo-social skyline keyword queries on road networks. forocc
PRS: efficient range skyline computation on massive data via …
WebbDominance and Skyline Given a set of d dimensional points T: We say that one point t 1 dominates another point t 2 if and only if: t 1 is better than or equal to t 2 on all dimensions, and t 1 is better than t 2 on at least one dimension. Here “better” can be either “smaller better”(minimum skyline) or “larger better”(maximum skyline) or any WebbWe propose an efficient algorithm that can compute skyline probability exactly for reasonably large database.We introduce the concept of zero-contributing set which has zero ... Skyline with presorting: Theory and optimizations, Springer, 2005. Google Scholar; bib0011 P. Godfrey, R. Shipley, J. Gryz, Maximal vector computation in large data ... Webb02) Skyline With Presorting - Free download as PDF File (.pdf), Text File (.txt) or read online for free. PAPER digimess dc power supply