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...
Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - PP(2023) vom: 23. Okt. |
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Format: | Online-Aufsatz |
Sprache: | English |
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2023
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Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics |
Schlagworte: | Journal Article |
Online verfügbar |
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