Windowed Stream Processing
Windowed Stream Processing is a stream processing paradigm that partitions continuous data streams into finite, time- or count-based segments called windows, enabling aggregate computations over bounded subsets of streaming data rather than the entire unbounded stream.
38
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1.9K
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116
Authors
59
Institutions
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2017–2026
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Approximate counts and quantiles over sliding windows
Arvind Arasu, Gurmeet Singh Manku · 2004 · 346 citations
Sampling from a moving window over streaming data
Brian Babcock, Mayur Datar, Rajeev Motwani · 2002 · 334 citations
How soccer players would do stream joins
Jens Teubner, Rene Mueller · 2011 · 129 citations
Adaptive load shedding for windowed stream joins
Buğgra Gedik, Kun‐Lung Wu, Philip S. Yu et al. · 2005 · 60 citations
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IBM (United States)
Armonk, United States
3 h-index
7 publications
330 citations

Delft University of Technology
Delft, The Netherlands
2 h-index
3 publications
143 citations

Mahidol University
Bangkok, Thailand
2 h-index
2 publications
81 citations
Stanford University
Stanford, United States
2 h-index
5 publications
1.7K citations
Eindhoven University of Technology
Eindhoven, The Netherlands
2 h-index
3 publications
93 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
2 h-index
5 publications
135 citations

Peking University
Beijing, China
2 h-index
12 publications
441 citations
Hodges University
Naples, United States
2 h-index
2 publications
81 citations
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1 publications · 55 citations
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1 publications · 47 citations
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ELS · 1 publications · 13 citations
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