Batch Data Processing
Batch Data Processing is a data processing paradigm that belongs to the class of data handling techniques characterized by the collection, aggregation, and subsequent processing of data in discrete, finite groups or batches, distinguished from continuous or stream processing by its reliance on scheduled, periodic execution over accumulated datasets.
403
Publications
39.3K
Citations
1.5K
Authors
585
Institutions
Publications per year
2017–2026
167
403
Florian Eyben, Martin Wöllmer, Björn W. Schuller · 2010 · 2.6K citations · Full text
SEEWAVE, A FREE MODULAR TOOL FOR SOUND ANALYSIS AND SYNTHESIS
Jérôme Sueur, Thierry Aubin, Caroline Simonis · Bioacoustics · 2008 · 1.3K citations
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Icahn School of Medicine at Mount Sinai, United States
3 publications · 319 citations
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Chinese Academy of Sciences
Beijing, China
8 h-index
21 publications
17.6K citations
IBM (United States)
Armonk, United States
7 h-index
8 publications
407 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
6 h-index
16 publications
511 citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
8 publications
361 citations
University of California, Berkeley
Berkeley, United States
5 h-index
10 publications
3K citations
University of Oxford
Oxford, United Kingdom
5 h-index
18 publications
2.3K citations
University of Colorado Boulder
Boulder, United States
4 h-index
8 publications
144 citations
Microsoft (United States)
Redmond, United States
4 h-index
16 publications
840 citations
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Repository · 12 publications · 606 citations
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8 publications · 1.7K citations
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5 publications · 141 citations
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TKDE · 5 publications · 193 citations
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5 publications · 295 citations
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