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IEEE BigDataService 2025 : The 11th IEEE International Conference on Big Data Computing Service and Machine Learning Applications

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Link: https://conf.researchr.org/track/cisose-2025/bigdataservice-2025
 
When Jul 21, 2025 - Jul 25, 2025
Where Tucson, Arizona, USA
Submission Deadline Apr 15, 2025
Notification Due May 26, 2025
Final Version Due Jun 15, 2025
Categories    big data analytics   machine learning
 

Call For Papers

Call for Papers – IEEE BigDataService 2025
📅 July 21-24, 2025 | 📍 Tucson, Arizona, USA
🔗 Website: https://conf.researchr.org/track/cisose-2025/bigdataservice-2025

The 11th IEEE International Conference on Big Data Computing Service and Machine Learning Applications (IEEE BigDataService 2025) invites submissions of high-quality research papers and workshop proposals. This premier event brings together experts from academia and industry to discuss cutting-edge advancements in Big Data, Machine Learning, and scalable systems.

Topics of Interest (including but not limited to):
✔ Big Data Analytics & Machine Learning (LLMs, Neuro-symbolic AI, Predictive & Causal Analytics)
✔ Distributed & Integrated Systems (IoT, Smart Systems, Networking, Sensor Networks)
✔ Big Data Platforms & Technologies (BDaaS, Data Processing, Scalability, Open-source Solutions)
✔ Foundations & Applications (Theoretical Models, Standards, Healthcare, Finance, Security)

Submission Categories:
📄 Full Papers: up to 8 pages (IEEE format)
📄 Short Papers: up to 5 pages
📌 Posters: up to 2 pages
📥 Submit via EasyChair: https://easychair.org/my/conference?conf=bigdataservice2025

Key Deadlines:
📌 Workshop Proposals: April 11, 2025
📌 Abstract Submission: April 15, 2025
📌 Paper Submission: April 25, 2025
📌 Notification of Acceptance: May 26, 2025
📌 Final Paper & Registration: June 15, 2025

IEEE BigDataService 2025 is co-located with several major IEEE conferences, including AITest, DAPPS, IMC, ISADS, JCC, SOSE, and FITYR.

Join us in Tucson for an engaging conference on the future of Big Data services and AI-driven applications! 🚀

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