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12 avril - 12 avril 2026

Classement: B (CORE2023)Single-blind review; full papers up to 10 pages IEEE 2-column (references count); IEEE Computer Society proceedings manuscript format; electronic submission via WiLab Cyberchair

IEEE International Conference on Big Data

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Aperçu

IEEE BigData 2026 call for papers (https://bigdataieee.org/BigData2026/calls/papers/): solicits research on Big Data emphasizing the 5Vs, across foundations, infrastructure, management, mining, ecosystems, foundation models, applications, science use cases, benchmarks, and visionary work; separate Industrial & Government tracks with page limits as stated. Important dates: electronic full-paper submission Aug. 21, 2026; notification Oct. 24, 2026; camera-ready Nov. 14, 2026; conference Dec. 14–17, 2026. The page text incorrectly says the technical program will be at Sorrento, Italy; elsewhere the conference is Dec. 14–17, 2026 in Phoenix, AZ—treat Phoenix as authoritative for venue.

Appel à communications

IEEE BigData 2026 call for papers (https://bigdataieee.org/BigData2026/calls/papers/): solicits research on Big Data emphasizing the 5Vs, across foundations, infrastructure, management, mining, ecosystems, foundation models, applications, science use cases, benchmarks, and visionary work; separate Industrial & Government tracks with page limits as stated. Important dates: electronic full-paper submission Aug. 21, 2026; notification Oct. 24, 2026; camera-ready Nov. 14, 2026; conference Dec. 14–17, 2026. The page text incorrectly says the technical program will be at Sorrento, Italy; elsewhere the conference is Dec. 14–17, 2026 in Phoenix, AZ—treat Phoenix as authoritative for venue.

Dates importantes

Dates de la conférence

Conference Date

12 avril 2026

Précédemment :
  • 14 décembre 2026
  • 8 décembre 2025 - 11 décembre 2025

Soumission

Paper submission

NOUVEAU

8 janvier 2026

Notification

Notification date

NOUVEAU

10 avril 2026

Version finale

Camera-ready

NOUVEAU

11 avril 2026

Classement source

Source: CORE2023

Classement: B

Domaine de recherche: Data management and data science, Machine learning, Artificial intelligence

Carte

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