Ranking strategies and threats: a cost-based pareto optimization approach

@article{Kim2009RankingSA,
  title={Ranking strategies and threats: a cost-based pareto optimization approach},
  author={Youngdae Kim and Gae-won You and Seung-won Hwang},
  journal={Distributed and Parallel Databases},
  year={2009},
  volume={26},
  pages={127-150}
}
Skyline queries have gained attention as an effective way to identify desirable objects that are “not dominated” by another object in the dataset. From market perspective, such objects are favored as pareto-optimal choices, as each of such objects has at least one competitive edge against all other objects, or not dominated. In other words, non-skyline objects have room for pareto-optimal improvements for more favorable positioning in the market. The goal of this paper is, for such non-skyline… CONTINUE READING

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