Stream Joins
Stream Join is a data integration operation in stream processing that combines elements from two or more continuous data streams based on a specified temporal or logical matching condition, enabling the derivation of enriched, time-correlated events.
82
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3.4K
Citations
238
Authors
96
Institutions
Publications per year
2017–2026
16
Parents
82
Approximate join processing over data streams
Abhinandan Das, Johannes Gehrke, Mirek Riedewald · 2003 · 277 citations
Brian Babcock, Shivnath Babu, Rajeev Motwani et al. · 2003 · 256 citations
Adaptive ordering of pipelined stream filters
Shivnath Babu, Rajeev Motwani, Kamesh Munagala et al. · 2004 · 227 citations
R. Ananthanarayanan, Venkatesh Basker, Sumit Kumar Das et al. · 2013 · 130 citations
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Hong Kong University of Science and Technology, Hong Kong SAR China
4 publications · 72 citations
4
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1–5 of 238
96
Stanford University
Stanford, United States
6 h-index
18 publications
2.4K citations
IBM (United States)
Armonk, United States
5 h-index
10 publications
469 citations

Worcester Polytechnic Institute
Worcester, United States
5 h-index
11 publications
713 citations

Cornell University
Ithaca, United States
4 h-index
15 publications
1.4K citations
Chalmers University of Technology
Gothenburg, Sweden
3 h-index
12 publications
300 citations
ETH Zurich
Zurich, Switzerland
3 h-index
6 publications
337 citations
Technische Universität Berlin
Berlin, Germany
3 h-index
5 publications
87 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
3 h-index
8 publications
331 citations
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TKDE · 5 publications · 192 citations
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PVLDB · 5 publications · 207 citations
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3 publications · 53 citations
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2 publications · 78 citations
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1 publications · 14 citations
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