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
Parents
6
Mehrzad Nejat, Bijan Alizadeh, Ali Afzali‐Kusha · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · 2014 · 22 citations
1–5 of 6
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8

The University of Sydney
Sydney, Australia
1 h-index
2 publications
132 citations

University of Bologna
Bologna, Italy
1 h-index
2 publications
22 citations

University of Tehran
Tehran, Iran
1 h-index
3 publications
66 citations

Bureau of Meteorology
Melbourne, Australia
1 h-index
4 publications
92 citations
Princeton University
Princeton, United States
1 h-index
1 publications
11 citations

University of Tasmania
Hobart, Australia
1 h-index
1 publications
23 citations

British Antarctic Survey
Cambridge, United Kingdom
1 h-index
3 publications
69 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
1 publications
11 citations
1–8 of 8
2 publications · 77 citations
2
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1 publications · 22 citations
1
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IJDWM · 1 publications · 11 citations
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Repository · 1 publications · 63 citations
1
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1 publications · 23 citations
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