Windowed Aggregation
Windowed Aggregation is a computational method in real-time analytics that belongs to the class of aggregation features and is distinguished by its application of aggregate functions over bounded subsets of streaming data, defined by temporal or logical windows, to enable incremental and time-sensitive summarization of continuous data streams.
12
Publications
898
Citations
41
Authors
20
Institutions
Publications per year
2017–2026
3
12
Maintaining stream statistics over sliding windows: (extended abstract)
Mayur Datar, Aristides Gionis, Piotr Indyk et al. · 2002 · 256 citations
Semantics and evaluation techniques for window aggregates in data streams
Jin Li, David Maier, Kristin Tufte et al. · 2005 · 244 citations
Proof-infused streams: enabling authentication of sliding window queries on streams
Li Fei-Fei, Ke Yi, Marios Hadjieleftheriou et al. · 2007 · 75 citations
Paris Carbone, Jonas Traub, Asterios Katsifodimos et al. · 2016 · 58 citations
1–5 of 12
41
3
h-index
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 41
20
Technische Universität Berlin
Berlin, Germany
3 h-index
9 publications
352 citations
German Research Centre for Artificial Intelligence
Kaiserslautern, Germany
2 h-index
4 publications
112 citations

Delft University of Technology
Delft, The Netherlands
2 h-index
2 publications
58 citations
Northeastern University
Boston, United States
1 h-index
1 publications
56 citations

KTH Royal Institute of Technology
Stockholm, Sweden
1 h-index
2 publications
116 citations

Mahidol University
Bangkok, Thailand
1 h-index
1 publications
49 citations

University of Massachusetts Amherst
Amherst Center, United States
1 h-index
1 publications
55 citations
Akamai (United States)
Cambridge, United States
1 h-index
1 publications
55 citations
1–8 of 20
1 publications · 15 citations
1
h-index
1 publications · 56 citations
1
h-index
PVLDB · 1 publications · 17 citations
1
h-index
Repository · 1 publications · 27 citations
1
h-index
1 publications · 12 citations
1–5