Mickaël Martin-Nevot

Membre associé ,  Aix-Marseille Université , Institut universitaire de technologie (IUT)

Économétrie, finance et méthodes mathématiques
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mickael.martin-nevot[at]univ-amu.fr
Résumé SkyRank is an open source Python framework designed to implement, compare, and visualize various Skyline ranking algorithm implementations, including dp-idp improved with dominance hierarchy, RankSky, CoSky, and DeepSky. While these methods have been independently introduced in the literature, SkyRank provides a unified, reproducible, and extensible platform to evaluate and visualize them interactively. SkyRank is designed for researchers, students, and practitioners working on multi-criteria decision making, Pareto dominance, and database preference queries. It includes a modular benchmarking backend, a LaTeX-compatible graph generator, and two graphical user interfaces (based on PyQt5 and Tkinter) for interactive data exploration.
Mots clés Ranking, Open source, Algorithm, Dp-idp, RankSky, CoSky, DeepSky, Skyline
Publication HAL Google Scholar