Demo Data from EDBT 2026 / reviewers in the wild / expert
Adar Amir
dblp:322/1658
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · none
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 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 · 77% Information retrieval · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data stream processing
complex event processing |
0.6 | 1 | 2022 | DLACEP: A Deep-Learning Based Framework for Approximate Complex Event Processing · SIGMOD Conference 2022 |
Information retrieval
pattern matching |
0.2 | 1 | 2022 | DLACEP: A Deep-Learning Based Framework for Approximate Complex Event Processing · SIGMOD Conference 2022 |
Methods — techniques the papers use, named apart from their topics
deep learning · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | DLACEP: A Deep-Learning Based Framework for Approximate Complex Event ProcessingabstractComplex event processing (CEP) is employed to detect user-specified patterns of events in data streams. CEP mechanisms operate by maintaining all sets of events that can potentially be composed into a pattern match. This approach can be wasteful when many of the sets do not participate in an actual match and are therefore discarded. Adar Amir, Ilya Kolchinsky, Assaf Schuster |
SIGMOD Conference | 1 |