Abstract | ||
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Skyline computation, aiming at identifying a set of skyline points that are not dominated by any other point, is particularly useful for multi-criteria data analysis and decision making. Traditional skyline computation, however, is inadequate to answer queries that need to analyze not only individual points but also groups of points. To address this gap, we generalize the original skyline definiti... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/TKDE.2019.2960347 | IEEE Transactions on Knowledge and Data Engineering |
Keywords | DocType | Volume |
Pareto optimization,Aggregates,Computational geometry,Decision making,Heuristic algorithms,Time complexity,Databases | Journal | 33 |
Issue | ISSN | Citations |
7 | 1041-4347 | 0 |
PageRank | References | Authors |
0.34 | 24 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jinfei Liu | 1 | 91 | 11.12 |
Li Xiong | 2 | 2335 | 142.42 |
Jian Pei | 3 | 19002 | 995.54 |
Jun Luo | 4 | 222 | 26.61 |
Haoyu Zhang | 5 | 33 | 4.20 |
Wenhui Yu | 6 | 18 | 2.98 |