Incremental Batch Processing

Incremental Batch Processing is a batch processing method that periodically updates output by processing only newly added or changed data since the last batch, thereby reducing computational overhead compared to full recalculation.

16

Publications

1.1K

Citations

29

Authors

18

Institutions

Publications per year

2017–2026

5

Authors

29

  1. XZ
    Xiatian Zhu

    Queen Mary University of London, United Kingdom

    3 publications · 592 citations

    3

    h-index

  2. QD
    Qi Dong

    Queen Mary University of London, United Kingdom

    3 publications · 592 citations

    3

    h-index

  3. SG
    Shaogang Gong

    Queen Mary University of London, United Kingdom

    3 publications · 592 citations

    3

    h-index

  4. CK
    Christopher Kanan

    Rochester Institute of Technology, United States

    2 publications · 151 citations

    2

    h-index

  5. SG
    Shashikumar G. Totad

    KLE Technological University, India

    2 publications · 38 citations

    2

    h-index

1–5 of 29

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 24 citations

    2

    h-index

  2. International Conference on Information Fusion

    Conference · 1 publications · 15 citations

    1

    h-index

  3. 1

    h-index

  4. Knowledge and Information Systems

    1 publications · 22 citations

    1

    h-index

  5. 1

    h-index

1–5