VISPUR : Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions

Big data and machine learning tools have jointly empowered humans in making data-driven decisions. However, many of them capture empirical associations that might be spurious due to confounding factors and subgroup heterogeneity. The famous Simpson's paradox is such a phenomenon where aggregate...

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Veröffentlicht in:IEEE transactions on visualization and computer graphics. - 1996. - PP(2023) vom: 23. Okt.
1. Verfasser: Teng, Xian (VerfasserIn)
Weitere Verfasser: Ahn, Yongsu, Lin, Yu-Ru
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:IEEE transactions on visualization and computer graphics
Schlagworte:Journal Article