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VLDB 2026 Research / reviewers in the wild / expert

Adriano Meligrana

dblp:372/6819 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0009-8317-528XORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Algorithms and data structures · 100%
Databases, data mining, and information retrieval
1 paper
Data stream processing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data stream processing
stream sampling		 1.012026
Weighted Reservoir Sampling with Replacement from Data Streams · WWW 2026
Algorithms and data structures
randomized algorithms		 1.012026
Weighted Reservoir Sampling with Replacement from Data Streams · WWW 2026
Algorithms and data structures › randomized algorithms › sampling › random sampling
reservoir sampling		 1.012026
Weighted Reservoir Sampling with Replacement from Data Streams · WWW 2026

Methods — techniques the papers use, named apart from their topics

sampling with replacement · 2.0
YearPublicationVenuePosition
2026 Weighted Reservoir Sampling with Replacement from Data Streams
abstract
In this work, we present a new random sampling method for data streams where the probability of an element's inclusion in the sample is proportional to a weight associated with that element. Our method is based on sampling with replacement, although most of the literature on this topic has focused on sampling without replacement.
Adriano Meligrana, Adriano Fazzone
 WWW1