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StreamMLOps: Operationalizing Online Learning for Big Data Streaming & Real-Time Applications

  • Published:2023-04 Issue: Volume: Page:
  • ISSN:
  • Container-title:2023 IEEE 39th International Conference on Data Engineering (ICDE)
  • language:
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Author:

Barry Mariam1,Montiel Jacob2,Bifet Albert3,Wadkar Sameer4,Manchev Nikolay4,Halford Max5,Chiky Raja6,Jaouhari Saad EL6,Shakman Katherine B7,Fehaily Joudi Al7,Le Deit Fabrice8,Tran Vinh-Thuy8,Guerizec Eric8

Affiliation:

1. BNP Paribas,Institut Polytechnique de Paris,France

2. University of Waikato Amazon,United States of America

3. University of Waikato,LTCI, Télécom Paris, IP Paris,New Zealand

4. Domino Data Lab,USA & United Kingdom

5. River Maintainer Carbonfact,France

6. ISEP* - 3DS OUTSCALE,France

7. Lyra & BNP Paribas,USA & France

8. BNP Paribas

Publisher

IEEE

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analysing MLOps and its Applicability in the Maritime Domain through a Systematic Mapping Study;2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS);2024-05-12

2. MLOps critical success factors - A systematic literature review;VFAST Transactions on Software Engineering;2024-03-31

3. Stream-based Active Learning for Speech Emotion Recognition via Hybrid Data Selection and Continuous Learning;Lecture Notes in Computer Science;2024
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