Sliding Window Analysis
Sliding Window Analysis is a computational technique in real-time analytics that processes continuous data streams by applying analytical operations over a fixed-size, time- or count-based subset of recent observations, which incrementally advances as new data arrives.
916
Publications
51.4K
Citations
3.1K
Authors
1.2K
Institutions
Publications per year
2017–2026
375
Variants
Sliding Window Processing
Parents
916
Stacks: an analysis tool set for population genomics
Julian Catchen, Paul A. Hohenlohe, Susan Bassham et al. · Molecular Ecology · 2013 · 4.3K citations
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University of Electronic Science and Technology of China
Chengdu, China
13 h-index
40 publications
3.2K citations

Chinese Academy of Sciences
Beijing, China
12 h-index
37 publications
9.7K citations

Centre National de la Recherche Scientifique
Paris, France
12 h-index
31 publications
1.1K citations
Wuhan University
Wuhan, China
10 h-index
36 publications
1.3K citations

Israel Electric (Israel)
Haifa, Israel
9 h-index
11 publications
324 citations

Harbin Institute of Technology
Harbin, China
8 h-index
20 publications
564 citations

Xi'an Jiaotong University
Xi'an, China
8 h-index
24 publications
501 citations

Peking University
Beijing, China
8 h-index
18 publications
477 citations
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24 publications · 1.1K citations
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17 publications · 632 citations
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16 publications · 950 citations
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11 publications · 481 citations
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Repository · 9 publications · 249 citations
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