Approximate Stream Processing
Approximate Stream Processing is a stream processing paradigm that trades exactness for efficiency by leveraging approximation techniques to deliver timely, in-memory analysis of high-velocity data streams under resource constraints.
34
Publications
2.3K
Citations
107
Authors
61
Institutions
Publications per year
2017–2026
8
Parents
34
Approximate join processing over data streams
Abhinandan Das, Johannes Gehrke, Mirek Riedewald · 2003 · 277 citations
Finding hierarchical heavy hitters in streaming data
Graham Cormode, Flip Korn, S. Muthukrishnan et al. · ACM Transactions on Knowledge Discovery from Data · 2008 · 92 citations
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AT&T (United States)
Bedminster, United States
3 h-index
5 publications
371 citations

Cornell University
Ithaca, United States
2 h-index
6 publications
1K citations
Technische Universität Dresden
Dresden, Germany
2 h-index
4 publications
266 citations

Peking University
Beijing, China
2 h-index
9 publications
998 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
3 publications
74 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
3 publications
258 citations

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
4 publications
278 citations

University of Massachusetts Amherst
Amherst Center, United States
2 h-index
4 publications
211 citations
1–8 of 61
PVLDB · 2 publications · 92 citations
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TKDE · 1 publications · 14 citations
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DMTCS · 1 publications · 12 citations
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Repository · 1 publications · 17 citations
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IDA · 1 publications · 25 citations
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