Demo Data from VLDB 2026 / reviewers in the wild / expert
Juliane Verwiebe
dblp:325/7351
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2 · 2 first-author · 2 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.
| Databases, data mining, and information retrieval
1 paper |
Data stream processing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data stream processing
window aggregation |
0.7 | 1 | 2023 | Survey of window types for aggregation in stream processing systems · VLDB J. 2023 |
Data stream processing
out-of-order stream processing |
0.2 | 1 | 2023 | Survey of window types for aggregation in stream processing systems · VLDB J. 2023 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Correction to: Survey of window types for aggregation in stream processing systems
Juliane Verwiebe, Philipp M. Grulich, Jonas Traub, Volker Markl |
VLDB J. | 1 |
| 2023 | Survey of window types for aggregation in stream processing systemsabstractAbstract In this paper, we present the first comprehensive survey of window types for stream processing systems which have been presented in research and commercial systems. We cover publications from the most relevant conferences, journals, and system whitepapers on stream processing, windowing, and window aggregation which have been published over the last 20 years. For each window type, we provide detailed specifications, formal notations, synonyms, and use-case examples. We classify each window type according to categories that have been proposed in literature and describe the out-of-order processing. In addition, we examine academic, commercial, and open-source systems with respect to the window types that they support. Our survey offers a comprehensive overview that may serve as a guideline for the development of stream processing systems, window aggregation techniques, and frameworks that support a variety of window types. Juliane Verwiebe, Philipp M. Grulich, Jonas Traub, Volker Markl |
VLDB J. | 1 |