Data Synthesis Reinvented: Preserving Missing Patterns for Enhanced Analysis.

Wang X, Asif H, Gupta S, Vaidya J

DOI: 10.1109/tkde.2025.3563319
Published: 2025 Jul
Container: IEEE transactions on knowledge and data engineering
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1109/tkde.2025.3563319,
  title = {Data Synthesis Reinvented: Preserving Missing Patterns for Enhanced Analysis.},
  author = {Wang X and Asif H and Gupta S and Vaidya J},
  year = {2025},
  journal = {IEEE transactions on knowledge and data engineering},
  doi = {10.1109/tkde.2025.3563319},
  url = {https://doi.org/10.1109/tkde.2025.3563319}
}

RIS

TY  - JOUR
TI  - Data Synthesis Reinvented: Preserving Missing Patterns for Enhanced Analysis.
AU  - Wang X
AU  - Asif H
AU  - Gupta S
AU  - Vaidya J
PY  - 2025
JO  - IEEE transactions on knowledge and data engineering
DO  - 10.1109/tkde.2025.3563319
UR  - https://doi.org/10.1109/tkde.2025.3563319
ER  -

APA

X, W., H, A., S, G., & J, V. (2025). Data Synthesis Reinvented: Preserving Missing Patterns for Enhanced Analysis.. IEEE transactions on knowledge and data engineering. https://doi.org/10.1109/tkde.2025.3563319

Source records

pubmed · retrieved 2026-09-26T06:34:18.086Z
europe-pmc · retrieved 2026-09-26T06:34:18.082Z