Demo Data from EDBT 2026 / reviewers in the wild / expert
Bruce Leban
dblp:29/2176
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 1987
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
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 |
Transaction processing and concurrency control · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Storage systems · 100% | |
| Artificial intelligence
1 paper |
Knowledge representation and reasoning · 100% | |
| Theoretical computer science
1 paper |
Logic in computer science · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems › data caching
database caching |
0.0 | 1 | 1987 | Finer Grained Concurrency for the Database Cache · ICDE 1987 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
temporal reasoning |
0.0 | 1 | 1986 | A Representation for Collections of Temporal Intervals · AAAI 1986 |
Logic in computer science
temporal logic |
0.0 | 1 | 1986 | A Representation for Collections of Temporal Intervals · AAAI 1986 |
Methods — techniques the papers use, named apart from their topics
two-phase locking · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1987 | Finer Grained Concurrency for the Database CacheabstractThe database cache transaction recovery technique as proposed in [Elhard and Bayer 84] offers significant performance advantages for reliable database systems. However, the smallest granularity of locks it provides is the page. Here we present two schemes supporting smaller granularity. The first scheme allows maximal concurrency consistent with physical two-phase locking, with the same per-transaction I/O cost as original database cache scheme. The second scheme offers the same concurrency as the first, but features reduced I/O on commit, at the cost of some increase recovery time. J. Eliot B. Moss, Bruce Leban, Panos K. Chrysanthis |
ICDE | 2 |
| 1986 | A Representation for Collections of Temporal Intervals
Bruce Leban, David McDonald, David Forster |
AAAI | 1 |