Stream Query Processing
Stream Query Processing is a method of query processing that evaluates continuous queries over unbounded data streams in real time, distinguishing itself from batch-oriented approaches by enabling incremental computation and immediate response to streaming data arrivals.
430
Publications
32K
Citations
1.1K
Authors
299
Institutions
Publications per year
2017–2026
60
Parents
430
Models and issues in data stream systems
Brian Babcock, Shivnath Babu, Mayur Datar et al. · 2002 · 2.5K citations
The Design of the Borealis Stream Processing Engine
Daniel J. Abadi, Yanif Ahmad, Magdalena Bałazińska et al. · 2005 · 1.2K citations
Ankit Toshniwal, Siddarth Taneja, Amit K. Shukla et al. · 2014 · 858 citations
High-performance complex event processing over streams
Eugene Wu, Yanlei Diao, Shariq Rizvi · 2006 · 835 citations
1–5 of 430
1.1K
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299
Stanford University
Stanford, United States
21 h-index
58 publications
25.3K citations
University of California, Berkeley
Berkeley, United States
17 h-index
40 publications
6.6K citations

Worcester Polytechnic Institute
Worcester, United States
14 h-index
52 publications
2K citations
Purdue University West Lafayette
West Lafayette, United States
14 h-index
55 publications
3.6K citations
IBM (United States)
Armonk, United States
14 h-index
37 publications
1.3K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
14 h-index
30 publications
2K citations
AT&T (United States)
Bedminster, United States
12 h-index
22 publications
1.6K citations
ETH Zurich
Zurich, Switzerland
12 h-index
28 publications
1.3K citations
1–8 of 299
PVLDB · 32 publications · 1.3K citations
19
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TKDE · 20 publications · 791 citations
17
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8 publications · 394 citations
8
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TODS · 8 publications · 527 citations
8
h-index
Conference · 6 publications · 365 citations
6
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