Late Data Handling

Late Data Handling is a stream processing mechanism that addresses the arrival of data records beyond their expected time window by applying corrective or compensatory actions to maintain temporal consistency and analytical accuracy within continuous data pipelines.

6

Publications

196

Citations

20

Authors

8

Institutions

Publications per year

2017–2026

0

Authors

20

  1. MJ
    Michael J. Pook

    CSIRO Oceans and Atmosphere, Australia

    1 publications · 23 citations

    1

    h-index

  2. MG
    Matteo Golfarelli

    University of Bologna, Italy

    1 publications · 11 citations

    1

    h-index

  3. BA
    Bijan Alizadeh

    University of Tehran, Iran

    1 publications · 22 citations

    1

    h-index

  4. AA
    Ali Afzali‐Kusha

    University of Tehran, Iran

    1 publications · 22 citations

    1

    h-index

  5. NA
    Neil Adams

    Bureau of Meteorology, Australia

    1 publications · 23 citations

    1

    h-index

1–5 of 20

Venues

  1. 2

    h-index

  2. 1

    h-index

  3. International Journal of Data Warehousing and Mining

    IJDWM · 1 publications · 11 citations

    1

    h-index

  4. Defense Technical Information Center (DTIC)

    Repository · 1 publications · 63 citations

    1

    h-index

  5. Weather and Forecasting

    1 publications · 23 citations

    1

    h-index

1–5