Data Synthesis Reinvented : Preserving Missing Patterns for Enhanced Analysis

Synthetic data is being widely used as a replacement or enhancement for real data in fields as diverse as healthcare, telecommunications, and finance. Unlike real data, which represents actual people and objects, synthetic data is generated from an estimated distribution that retains key statistical...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on knowledge and data engineering. - 1998. - 37(2025), 7 vom: 24. Juli, Seite 3962-3975
1. Verfasser:	Wang, Xinyue (VerfasserIn)
Weitere Verfasser:	Asif, Hafiz, Gupta, Shashank, Vaidya, Jaideep
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2025
Zugriff auf das übergeordnete Werk:	IEEE transactions on knowledge and data engineering
Schlagworte:	Journal Article GAN Missing Data Synthetic Data Generation